Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer.

Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered in a new era of disease prediction models that harness comprehensive medical data, enabling the anticipation of illnesses even before the onset of symptoms. In this model, deep neural networks stand out because they improve accuracy remarkably by increasing network depth and making weight changes using gradient descent. Nonetheless, traditional methods face their own set of challenges, including the issues of gradient instability and slow training. In this case, the Broad Learning System (BLS) stands out as a good alternative. It gets around the problems with gradient descent and lets you quickly rebuild a model through incremental learning. One problem with BLS is that it has trouble extracting complex features from complex medical data. This makes it less useful in a wide range of healthcare situations. In response to these challenges, we introduce DAE-BLS, a novel hybrid model that marries Denoising AutoEncoder (DAE) noise reduction with the efficiency of BLS. This hybrid approach excels in robust feature extraction, particularly within the intricate and multifaceted world of medical data. Validation using diverse datasets yields impressive results, with accuracies reaching as high as 98.50%. DAE-BLS's ability to rapidly adapt through incremental learning holds great promise for accurate and agile disease prediction, especially within the complex and dynamic healthcare scenarios of today.

Revitalizing Recovery: Unveiling the Transformative Impact of Physiotherapy in Rehabilitating a Neglected Case of Shoulder Hemiarthroplasty.

The shoulder joint has a complex anatomy and biomechanics. It is a ball and socket joint made by the articulation surface of the humeral head (ball) and glenoidal fossa (socket) of the scapula. Shoulder arthroplasty is done when parts of the shoulder joint are severely affected and damaged beyond repair. The damaged parts are replaced with artificial parts. Prosthetic implants are typically made of metal or plastic material. Implants come in various sizes and shapes. There are three types of surgical arthroplasty: total shoulder arthroplasty, partial shoulder arthroplasty, and reverse arthroplasty. Indications of shoulder arthroplasty may include osteoarthritis, fractures, rotator cuff injuries, osteonecrosis, and rheumatoid arthritis. This case study aims to provide a case of anteroinferior dislocation of the left shoulder with humeral head comminuted fracture confirmed by an investigation like radiograph and CT scan operatively managed by left shoulder hemiarthroplasty. In this case study, a 58-year-old male cannot lift his arm and perform actions of the shoulder joint independently after the operative procedure, thus reducing the functional status and quality of life. After the left shoulder hemiarthroplasty repair post due to inadequate rehabilitation, there was a failure in achieving the ranges and gaining back the strength of the muscles. The patient has a combined plan of action, which consists of pharmacological interventions along with physiotherapy rehabilitation. The physiotherapy protocol consists of goals like using electrical muscle stimulation, activation exercises of muscles, strengthening protocol, stretches, and counselling. By the end of the physiotherapy treatment, the patient showed significant progress in re-establishing the ranges and enhanced muscle strength, which resulted in a positive self-boost along with improved functional independence quotient, thereby increasing quality of life.

Coordinated metabolic responses to cyclophilin D deletion in the developing heart.

In the embryonic heart, the activation of the mitochondrial electron transport chain (ETC) coincides with the closure of the cyclophilin D (CypD) regulated mitochondrial permeability transition pore (mPTP). However, it remains to be established whether the absence of CypD has a regulatory effect on mitochondria during cardiac development. Using a variety of assays to analyze cardiac tissue from wildtype and CypD knockout mice from embryonic day (E)9.5 to adult, we found that mitochondrial structure, function, and metabolism show distinct transitions. Deletion of CypD altered the timing of these transitions as the mPTP was closed at all ages, leading to coupled ETC activity in the early embryo, decreased citrate synthase activity, and an altered metabolome particularly after birth. Our results suggest that manipulating CypD activity may control myocyte proliferation and differentiation and could be a tool to increase ATP production and cardiac function in immature hearts.

Comparing the performance of a deep learning-based lung gross tumour volume segmentation algorithm before and after transfer learning in a new hospital.

Objectives: Radiation therapy for lung cancer requires a gross tumour volume (GTV) to be carefully outlined by a skilled radiation oncologist (RO) to accurately pinpoint high radiation dose to a malignant mass while simultaneously minimizing radiation damage to adjacent normal tissues. This is manually intensive and tedious however, it is feasible to train a deep learning (DL) neural network that could assist ROs to delineate the GTV. However, DL trained on large openly accessible data sets might not perform well when applied to a superficially similar task but in a different clinical setting. In this work, we tested the performance of DL automatic lung GTV segmentation model trained on open-access Dutch data when used on Indian patients from a large public tertiary hospital, and hypothesized that generic DL performance could be improved for a specific local clinical context, by means of modest transfer-learning on a small representative local subset. Methods: X-ray computed tomography (CT) series in a public data set called "NSCLC-Radiomics" from The Cancer Imaging Archive was first used to train a DL-based lung GTV segmentation model (Model 1). Its performance was assessed using a different open access data set (Interobserver1) of Dutch subjects plus a private Indian data set from a local tertiary hospital (Test Set 2). Another Indian data set (Retrain Set 1) was used to fine-tune the former DL model using a transfer learning method. The Indian data sets were taken from CT of a hybrid scanner based in nuclear medicine, but the GTV was drawn by skilled Indian ROs. The final (after fine-tuning) model (Model 2) was then re-evaluated in "Interobserver1" and "Test Set 2." Dice similarity coefficient (DSC), precision, and recall were used as geometric segmentation performance metrics. Results: Model 1 trained exclusively on Dutch scans showed a significant fall in performance when tested on "Test Set 2." However, the DSC of Model 2 recovered by 14 percentage points when evaluated in the same test set. Precision and recall showed a similar rebound of performance after transfer learning, in spite of using a comparatively small sample size. The performance of both models, before and after the fine-tuning, did not significantly change the segmentation performance in "Interobserver1." Conclusions: A large public open-access data set was used to train a generic DL model for lung GTV segmentation, but this did not perform well initially in the Indian clinical context. Using transfer learning methods, it was feasible to efficiently and easily fine-tune the generic model using only a small number of local examples from the Indian hospital. This led to a recovery of some of the geometric segmentation performance, but the tuning did not appear to affect the performance of the model in another open-access data set. Advances in knowledge: Caution is needed when using models trained on large volumes of international data in a local clinical setting, even when that training data set is of good quality. Minor differences in scan acquisition and clinician delineation preferences may result in an apparent drop in performance. However, DL models have the advantage of being efficiently "adapted" from a generic to a locally specific context, with only a small amount of fine-tuning by means of transfer learning on a small local institutional data set.

Growing Trends in Scientific Publication in Physiotherapy Treatment of Knee Osteoarthritis: A Bibliometric Literature Analysis.

There has been an increase in the life expectancy of people worldwide, especially in developing countries like India. Osteoarthritis, a condition that usually onsets during later decades of life, has also been on the rise, even with advancing technology. This has led osteoarthritis of the knee to become a global disabling condition of the lower extremity that increases dependency on the affected individual. A bibliometric study has not been conducted on knee osteoarthritis research. Therefore, a bibliometric analysis which includes statistical analysis of recent articles, books, and other forms of publications is done for evaluation of scientific output and to find the importance of scientific studies in terms of quality as well as quantity. The aim of this analysis was to evaluate the productivity of research articles indexed in PubMed related to the condition. The PubMed database was used and articles related to osteoarthritis of the knee, phonophoresis, and start excursion balance test were extracted. In the bib text format, all the files were downloaded and placed together. The R studio software (R Foundation for Statistical Computing, Vienna, Austria) for bibliometric analysis was then used, into which the research data was uploaded and a data framework of bibliometric analysis was made. Analysis of bibliometric publications related to knee osteoarthritis, phonophoresis, Otago exercises, star excursion balance test, ultrasound, and exercise therapy generated between 1989 and 2021 lists a total of 120 relevant documents from 75 sources with an average of 4.53 articles per year of publication. The use of an advanced PubMed database enables the extraction of adequate articles and powerful bibliometric analysis of the studies conducted on osteoarthritis of the knee published from 1989 to 2021. It includes an assessment of the contributions from major countries. This study allowed us to validate our methodology which can be used to evaluate research policies and promote international collaboration.

Resurgence to Life: A Case Report on Inpatient Rehabilitation in Organophosphate Poisoning Followed by Intermediate Syndrome.

Organophosphate poisoning (OPP) results from the occupational, accidental, or suicidal intake of organophosphate pesticides (OPs). There is a huge limitation in the available literature on OPP cases and the role of physiotherapy in such cases. We report a case of a 33-year-old farmer, found in a state of ingested insecticide and admitted to the emergency department. The patient had two to three episodes of vomiting, associated with continuous tremors in his hands and legs. Immediately infused with atropine, the patient's general condition deteriorated, and he was intubated with an endotracheal tube. With the signs of long-term intubation, a tracheostomy was done. A respiratory therapy consult was taken for indications of intermediate syndrome and to achieve early weaning. The patient's referral was received in view of the long-term requirement of bronchial hygiene and the need for early ambulation as well as psychological support. Informed consent was taken from the family prior to the commencement of the treatment. Respiratory therapy interventions included body positioning, bronchial hygiene techniques, chest proprioceptive neuromuscular facilitation (PNF) techniques, and mobility exercises to achieve early ambulation. Physiotherapists have the appropriate training, knowledge, and skills to deliver the exercise components and help patients return to their activities of daily living. Significant levels of improvement have been seen in the general condition of the patient. The overall functioning of the patient's health was seen as improved on the scales of consciousness, early mobility in the step-down unit, and quality of life.

A Simplified Risk Score to Estimate the Risk of Contrast-Induced Nephropathy after Contrast Exposure.

Introduction: Scores are available to predict the probability of contrast-induced nephropathy (CIN) after cardiac interventions, but not many scores are available for non-cardiac interventions and there are none for intravenous exposure to contrast. We designed this study to develop a simplified score to determine the probability of developing CIN in patients exposed to the parenteral contrast medium. Methods: This was a prospective study of patients who received parenteral contrast. Of 1300 patients, the first 1000 comprised the derivation cohort and the next 300 comprised the validation cohort. The patient variables in the development cohort were studied using univariate analysis. Statistically significant individual variables were used as independent variables, and CIN was used as the dependent variable in the final multivariate logistic regression model. Then, the risk score was obtained and validated. Results: The incidence of CIN was 3.8%. The risk factors, namely the presence of diabetes mellitus, e-GFR, and route and volume of contrast material were significantly associated with the risk of CIN (P < 0.05). The developed risk score had a sensitivity of 90.4% and specificity of 98.78%. The overall accuracy was 97.8%. The values of AUC of ROC in the development and validation datasets were high. This indicated that the predicted CIN risk score correlated well with the calibration and discriminative characteristics. Conclusions: The route and volume of contrast administered, low e-GFR, and diabetes mellitus were the significant risk factors. The developed risk score exhibited very good sensitivity and specificity and excellent accuracy in predicting the probability of CIN.

Changing Trends in Publication Regarding Temporomandibular Joint Dysfunction From 1975 to 2021: A Bibliometric Analysis.

Temporomandibular joint (TMJ) is a bicondylar joint. Various conditions have the same clinical presentation as TMJ dysfunction, which requires a thorough assessment of active and passive movements and palpation of the joints surrounding the joint. Many times, TMJ dysfunction occurs due to an alteration in the cervical spine. The patient complains of clicking or popping sound at the jaw and a reduced maximum mouth opening. The conditions that lead to TMJ dysfunction include bruxism, arthritis, stress, injury to the jaw, and overuse. The trend of the available literature has changed from 1972 to 2021 to assess changing trends in the publication on TMJ about authors, country, collaboration of the institutes, and the journal. We have done this bibliometric assessment. The articles were collected from the PubMed database; the keywords used were temporomandibular dysfunction (TMD), neck pain, physiotherapy, and rehabilitation. A total of 437 articles were found from 1975 to 2021, which were then converted into pictorial forms using the CiteSapce R software, and the data were interpreted. The analysis of the bibliometrics of publications on TMD, neck pain, and functional disability between the years 1975 and 2021 shows a total of 437 articles were published. The articles were from 196 sources; the highest number of publications were seen from 2014 until 2021, with the highest number of published papers by author Yoo WG and the highest number of articles published by the Journal of Physical Therapy Science. This bibliometric analysis depicts that the quantity of literature on TMD and the forward head has increased, as has the effectiveness of physical therapy interventions on the forward head in terms of correcting temporomandibular dysfunction.

Virtual reality a technological miracle transforming physical rehabilitation: A scoping review.

Physical rehabilitation is evolving day by day. In the same way, simulation in rehabilitation is increasing and has now become a cornerstone for rehabilitation programs. Increase in the number of new protocols, clinical methods, and treatment standardization, virtual reality is appearing as a new medium to deliver the simulation. Virtual reality gives the benefits of forming standardized treatment protocols on demand for various conditions repetitively with a cost-effective delivery system. This was an observational retrospective study. The PubMed database was used to obtain the available material related to virtual reality and rehabilitation and was searched using the same keywords. The articles were then sorted as the subject to the recent decade. The basic information was then obtained, which included timespan, sources of the document, average years of publication, document types we collected, and average citation per year per document. Analysis of the literature that was available online related to virtual reality and rehabilitation between 2011 and 2021 generated a list of 813 documents from 275 sources, of which 810 were from journal articles and 3 were book chapters with an average year of publication of 2.16. The highest number of publications was 480 in 2020, followed by 150 in 2019, 95 in 2018, and 28 in 2017. The annual growth rate percentage of scientific publications was 26.1%. Therefore, more studies should be performed on virtual reality.

Assessment of Pulmonary Hypertension in Chronic Kidney Disease Patients using Doppler Echocardiography.

Background: The incidence of chronic kidney disease (CKD) is increasing globally and is associated with significant morbidity and mortality related to the cardiovascular system. There is limited data on pulmonary hypertension (PH) in CKD patients, especially from developing and underdeveloped countries. PH leads to hypoxia which is a significant cause of dyspnea in CKD patients with or without pulmonary edema. Hence, we planned this study to assess the PH in CKD patients using two-dimensional (2D) color Doppler echocardiography. Materials and Methods: This is an observational cross-sectional study. A total of 100 CKD patients on hemodialysis or conservative management were enrolled in the study. Following the collection of demographic data, and routine/specific investigations, these patients were assessed for PH using 2D color Doppler echocardiography. Results: PH was found in 47% of patients with CKD. Left ventricular (LV) hypertrophy, systolic and diastolic dysfunction, dilated right atrium/right ventricular and left atrial/LV chambers, and valvular hypertrophy were other echocardiography findings recorded in these patients. Low hemoglobin levels, high urea/creatinine levels, and duration of hemodialysis in CKD patients were found to be significantly associated with the presence of PH. Conclusion: The majority of CKD patients have PH at various stages of disease-causing unexplained dyspnea in these patients. PH is common in end-stage CKD as compared to patients with a less severe stage of CKD. Hence, CKD patients should be evaluated for PH, especially in the presence of intractable dyspnea.

Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery.

INTRODUCTION: In laparoscopic surgery, looking in the target areas is an indicator of proficiency. However, gaze behaviors revealing feedforward control (i.e., looking ahead) and their importance have been under-investigated in surgery. This study aims to establish the sensitivity and relative importance of different scene-dependent gaze and motion metrics for estimating trainee proficiency levels in surgical skills. METHODS: Medical students performed the Fundamentals of Laparoscopic Surgery peg transfer task while recording their gaze on the monitor and tool activities inside the trainer box. Using computer vision and fixation algorithms, five scene-dependent gaze metrics and one tool speed metric were computed for 499 practice trials. Cluster analysis on the six metrics was used to group the trials into different clusters/proficiency levels, and ANOVAs were conducted to test differences between proficiency levels. A Random Forest model was trained to study metric importance at predicting proficiency levels. RESULTS: Three clusters were identified, corresponding to three proficiency levels. The correspondence between the clusters and proficiency levels was confirmed by differences between completion times (F2,488 = 38.94, p < .001). Further, ANOVAs revealed significant differences between the three levels for all six metrics. The Random Forest model predicted proficiency level with 99% out-of-bag accuracy and revealed that scene-dependent gaze metrics reflecting feedforward behaviors were more important for prediction than the ones reflecting feedback behaviors. CONCLUSION: Scene-dependent gaze metrics revealed skill levels of trainees more precisely than between experts and novices as suggested in the literature. Further, feedforward gaze metrics appeared to be more important than feedback ones at predicting proficiency.

Machine learning-based clinical decision support for infection risk prediction.

Background: Healthcare-associated infection (HAI) remains a significant risk for hospitalized patients and a challenging burden for the healthcare system. This study presents a clinical decision support tool that can be used in clinical workflows to proactively engage secondary assessments of pre-symptomatic and at-risk infection patients, thereby enabling earlier diagnosis and treatment. Methods: This study applies machine learning, specifically ensemble-based boosted decision trees, on large retrospective hospital datasets to develop an infection risk score that predicts infection before obvious symptoms present. We extracted a stratified machine learning dataset of 36,782 healthcare-associated infection patients. The model leveraged vital signs, laboratory measurements and demographics to predict HAI before clinical suspicion, defined as the order of a microbiology test or administration of antibiotics. Results: Our best performing infection risk model achieves a cross-validated AUC of 0.88 at 1 h before clinical suspicion and maintains an AUC >0.85 for 48 h before suspicion by aggregating information across demographics and a set of 163 vital signs and laboratory measurements. A second model trained on a reduced feature space comprising demographics and the 36 most frequently measured vital signs and laboratory measurements can still achieve an AUC of 0.86 at 1 h before clinical suspicion. These results compare favorably against using temperature alone and clinical rules such as the quick sequential organ failure assessment (qSOFA) score. Along with the performance results, we also provide an analysis of model interpretability via feature importance rankings. Conclusion: The predictive model aggregates information from multiple physiological parameters such as vital signs and laboratory measurements to provide a continuous risk score of infection that can be deployed in hospitals to provide advance warning of patient deterioration.

Rehabilitation and Management of Complex Multiple Para-Symphysis Mandible Fracture: A Case Report.

Fractures of the parasymphysis occur in 15% of all cases of mandibular fracture. The mandible occupies the lowest portion of the face. The prominent bone of the face is severely injured when the lower face is hit by high impacts with upward or obliquely directed force. In this case study, we discussed the alleged trauma case of a 20-year-old man who fell from a height on August 27, 2022, at about 9:00 p.m. near Wardha. His family took him to the hospital in Wardha due to pain that was aggravated during chewing and swelling in his jaw. On investigation, an X-ray was done, and a left parasymphysis and right-side body fracture were noticed. Later, the patient underwent surgery, where open reduction and internal fixation of the left parasymphysis and the right-side body fracture with plating and intermaxillary fixation (IMF) were done. Then he was referred to the physiotherapy department for therapeutic intervention. Rehabilitation was given to reduce pain and swelling, regain full range of motion, gradually increase mobility, and keep associated muscles strong. A six-week protocol was administered to the patient. It was found that the therapeutic approach was quite effective for the patient.

A Comprehensive Physiotherapy Rehabilitation for Lower Limb Amputation as a Consequence of Cannabis and Alcohol Dependency: A Case Report.

Chronic marijuana and alcohol consumption leads to many forms of physical and physiological deterioration in the human body, mainly affecting the neurological system. A ​​​​65-year-old male patient suffered from stroke with the involvement of middle cerebral artery of the left side. Nine years later, patient presented with gangrene due to a traumatic unhealed wound on his left leg. The patient was under the influence of alcohol when he was injured. The infection spread, causing peripheral arterial disease, which eventually led to the development of gangrene till mid-calf of the left leg, for which he was amputated. Above-knee amputation with a fish-mouth incision was performed. Physiotherapy management focused on prehension and grip exercises for right upper limb, strengthening of all the limb musculature, stump management, transfer training, gait training with walker/crutches and prosthesis, and home exercise program, retraining activities of daily living. This case study embodies a rehabilitation program for this patient who suffered from stroke followed by amputation of the left leg. It focuses on bringing the patient back to his near-normal life. Regular physiotherapy helped the patient build up confidence, helped in resolving his addictions, and provided individual structure management. We present a rare case of above-knee amputation secondary to complications of alcohol abuse where an extensive post-op care and elaborate physiotherapy program resulted in a successful recovery.

Physical Therapy Management in a Severe Case of Overlapping of Bone Post Crush Injury: A Case Report.

Crush injuries are sustained due to high velocity and usually have a poor outcome. Since the compressive forces are of high energy, such injuries are usually seen in road traffic accidents or in industrial workers. Crush injuries of the hand account for relatively a smaller percentage of the injuries to the hand and include an open wound along with fracture dislocation of the carpometacarpal, interphalangeal, and radiocarpal joints. Since these injuries are uncommon, they are often overlooked in radiological findings or misdiagnosed. Their recognition depends on a careful physical and radiographic examination that may require trispiral computed tomograms. Physical therapy rehabilitation post-surgery becomes a necessity, especially in cases where the dominant hand is affected. Functional rehabilitation to improve the independence and efficiency of activities of daily living is a goal of utmost importance.

Postoperative Physiotherapy Approach for a Rare Case of Adult Ileocecal Intussusception.

We report a rare case of a 32-year-old male diagnosed with a mass of intussusception in the right lumbar region. Adult intussusception has a prevalence of less than 5%. Among all cases of intestinal obstructions, adult intussusception is found to be only 1-3%. Adult intussusception of the bowel is uncommon. In contrast to intussusception in children, the traditional trio of palpable sausage, jelly stools, and discomfort is rarely seen. Adults usually present with nonspecific findings that last for a long time. We share the case of a patient who presented with complaints of pain in the abdomen and loss of appetite for six months. In addition, the patient also complained of constipation. The patient had a history of easy fatigue on moderate-intensity activity. Ultrasonography of the abdomen was suggested which revealed bowel wall thickening in the subhepatic region, with likely intussusception and formation of a lump with few enlarged lymph nodes adjacent to it. A confirmatory diagnosis was made after a computed tomography scan. In all cases, surgical intervention is required, and an organic lesion inside the invaginated section of the colon is discovered to be the lead point in up to 90% of cases. The laparoscopic procedure can be used for both diagnostic and therapeutic purposes. A right hemicolectomy was performed through a vertical midline incision. The patient was referred to the physiotherapy department for further management.

Immediate Effectiveness of Chest Proprioceptive Neuromuscular Facilitation (PNF) Technique on Hemodynamic Status in COVID-19 Patients: An Original Research.

Introduction COVID-19 is an infectious illness that first appeared in Wuhan, China in December 2019, and subsequently spread over the entire world. Those who were affected suffered from fever, cough, weakness, and breathlessness, along with the probability of developing pneumonia which sometimes leads to respiratory failure. The older population with co-morbidities was at higher risk. Methods In this experimental study, 59 subjects with COVID-19 were included according to pre-decided inclusion and exclusion criteria. Pre-vitals before the treatment were noted such as heart rate, respiratory rate, and oxygen saturation (SPO2), and then the chest proprioceptive neuromuscular facilitation (PNF) technique was given as a treatment regime, and its immediate effect was calculated. Post-vitals were noted immediately after the treatment session. The statistical analysis was made using the student's paired t-test. Results We found a mean difference of 9.45±5.27 in heart rate before and after the intervention provided which is suggestive of a statistically significant increase within normal limits. Also, the mean value of respiratory rate immediately after the intervention was shown as 22.91 and pre-intervention was 19.18 with a mean difference of 2.93±3.95, showing a statistically significant increase in respiratory rate. Additionally, the mean value of SPO2 immediately after the intervention was shown as 92.76 and pre-intervention was 94.64 and had a mean difference of 1.88±1.67 suggestive of high improvement in oxygen saturation immediately after the intervention. Conclusion The present study concludes from the available statistical analysis that chest PNF techniques such as intercostal stretch and anterior basal stretch lift have an immediate impact on improvement in oxygen saturation in COVID-19 patients and can be incorporated as an inpatient treatment regime in the rehabilitation protocol.

Interpretable Identification of Comorbidities Associated with Recurrent ED and Inpatient Visits.

In the hospital setting, a small percentage of recurrent frequent patients contribute to a disproportional amount of healthcare resource utilization. Moreover, in many of these cases, patient outcomes can be greatly improved by reducing re-occurring visits, especially when they are associated with substance abuse, mental health, and medical factors that could be improved by social-behavioral interventions, outpatient or preventative care. Additionally, health care costs can be reduced significantly with fewer preventable recurrent visits. To address this, we developed a novel, interpretable framework that both identifies recurrent patients with high utilization and determines which comorbidities contribute most to their recurrent visits. Specifically, we present a novel algorithm, called the minimum similarity association rules (MSAR), which balances the confidence-support trade-off, to determine the conditions most associated with re-occurring Emergency department and inpatient visits. We validate MSAR on a large Electronic Health Record dataset, demonstrating the effectiveness and consistency in ability to find low-support comorbidities with high likelihood of being associated with recurrent visits, which is challenging for other algorithms such as XGBoost. Clinical relevance- In the era of value-based care and population health management, the proposal could be used for decision making to help reduce future recurrent admissions, improve patient outcomes and reduce the cost of healthcare.