Search details
1.
Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data.
Anesthesiology
; 137(5): 586-601, 2022 11 01.
Article
in English
| MEDLINE | ID: mdl-35950802
2.
A deep learning framework for automated detection and quantitative assessment of liver trauma.
BMC Med Imaging
; 22(1): 39, 2022 03 08.
Article
in English
| MEDLINE | ID: mdl-35260105
3.
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.
BMC Med Imaging
; 22(1): 10, 2022 01 19.
Article
in English
| MEDLINE | ID: mdl-35045816
4.
An interpretable neural network for outcome prediction in traumatic brain injury.
BMC Med Inform Decis Mak
; 22(1): 203, 2022 08 01.
Article
in English
| MEDLINE | ID: mdl-35915430
5.
Association between symptoms, affect and heart rhythm in patients with persistent or paroxysmal atrial fibrillation: an ambulatory pilot study.
Am Heart J
; 241: 1-5, 2021 11.
Article
in English
| MEDLINE | ID: mdl-34157300
6.
Fully automated endoscopic disease activity assessment in ulcerative colitis.
Gastrointest Endosc
; 93(3): 728-736.e1, 2021 03.
Article
in English
| MEDLINE | ID: mdl-32810479
7.
Clinical decision support systems in orthodontics: A narrative review of data science approaches.
Orthod Craniofac Res
; 24 Suppl 2: 26-36, 2021 Dec.
Article
in English
| MEDLINE | ID: mdl-33973362
8.
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity.
BMC Med Inform Decis Mak
; 21(1): 364, 2021 12 28.
Article
in English
| MEDLINE | ID: mdl-34963444
9.
Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications.
Semin Orthod
; 27(2): 78-86, 2021 Jun.
Article
in English
| MEDLINE | ID: mdl-34305383
10.
Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning.
Entropy (Basel)
; 23(4)2021 Mar 24.
Article
in English
| MEDLINE | ID: mdl-33804831
11.
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome.
BMC Med Imaging
; 20(1): 116, 2020 10 15.
Article
in English
| MEDLINE | ID: mdl-33059612
12.
Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia.
Entropy (Basel)
; 21(5)2019 Apr 28.
Article
in English
| MEDLINE | ID: mdl-33267156
13.
Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals.
Diagnostics (Basel)
; 14(3)2024 Jan 23.
Article
in English
| MEDLINE | ID: mdl-38337750
14.
Prediction of pediatric peanut oral food challenge outcomes using machine learning.
J Allergy Clin Immunol Glob
; 3(3): 100252, 2024 Aug.
Article
in English
| MEDLINE | ID: mdl-38745865
15.
Increasing efficiency of SVMp+ for handling missing values in healthcare prediction.
PLOS Digit Health
; 2(6): e0000281, 2023 Jun.
Article
in English
| MEDLINE | ID: mdl-37384608
16.
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies.
IEEE J Biomed Health Inform
; 27(1): 239-250, 2023 01.
Article
in English
| MEDLINE | ID: mdl-36194714
17.
Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural network.
PLoS One
; 18(11): e0295016, 2023.
Article
in English
| MEDLINE | ID: mdl-38015947
18.
Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithm.
J Heart Lung Transplant
; 41(12): 1781-1789, 2022 12.
Article
in English
| MEDLINE | ID: mdl-36192320
19.
Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system.
Sci Rep
; 12(1): 11347, 2022 07 05.
Article
in English
| MEDLINE | ID: mdl-35790802
20.
Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR.
PLoS One
; 17(10): e0275033, 2022.
Article
in English
| MEDLINE | ID: mdl-36223330