Detalhe da pesquisa
1.
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort.
J Hum Nutr Diet
; 37(3): 622-632, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38348579
2.
AKI in Hospitalized Patients with COVID-19.
J Am Soc Nephrol
; 32(1): 151-160, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32883700
3.
MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities.
J Am Coll Nutr
; 40(1): 3-12, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32701397
4.
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
J Med Internet Res
; 22(11): e24018, 2020 11 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33027032
5.
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system.
NPJ Digit Med
; 7(1): 149, 2024 Jun 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-38844546
6.
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.
J Am Med Inform Assoc
; 2024 May 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-38771093
7.
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation.
JMIR Form Res
; 7: e46905, 2023 Oct 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-37883177
8.
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model.
J Clin Med
; 11(23)2022 Nov 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-36498463
9.
Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach.
Sci Rep
; 11(1): 1381, 2021 01 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-33446890
10.
Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19.
Clin J Am Soc Nephrol
; 16(8): 1158-1168, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-34031183
11.
Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19.
BMJ Support Palliat Care
; 2020 Sep 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32963059
12.
Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients.
J Clin Med
; 9(6)2020 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32492874
13.
MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model.
J Clin Med
; 9(2)2020 Jan 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-32012659
14.
Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19.
J Am Coll Cardiol
; 76(16): 1815-1826, 2020 10 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-32860872
15.
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.
BMJ Open
; 10(11): e040736, 2020 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-33247020
16.
Acute Kidney Injury in Hospitalized Patients with COVID-19.
medRxiv
; 2020 May 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32511564
17.
Clinical Characteristics of Hospitalized Covid-19 Patients in New York City.
medRxiv
; 2020 Apr 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-32511655
18.
Mobile applications for diabetes self-management: status and potential.
J Diabetes Sci Technol
; 7(1): 247-62, 2013 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-23439183
19.
A systematic review of IT for diabetes self-management: are we there yet?
Int J Med Inform
; 82(8): 637-52, 2013 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-23792137