Detalhe da pesquisa
1.
AKI in Hospitalized Patients with COVID-19.
J Am Soc Nephrol
; 32(1): 151-160, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32883700
2.
Deep learning and the electrocardiogram: review of the current state-of-the-art.
Europace
; 23(8): 1179-1191, 2021 08 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33564873
3.
Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study.
J Med Internet Res
; 23(2): e26107, 2021 02 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-33529156
4.
Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City.
Clin Infect Dis
; 71(11): 2933-2938, 2020 12 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-32594164
5.
Deep learning for healthcare: review, opportunities and challenges.
Brief Bioinform
; 19(6): 1236-1246, 2018 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-28481991
6.
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.
Brief Bioinform
; 19(4): 656-678, 2018 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-28200013
7.
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.
Bioinformatics
; 35(21): 4515-4518, 2019 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31214700
8.
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
9.
Sleep in the Natural Environment: A Pilot Study.
Sensors (Basel)
; 20(5)2020 Mar 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-32138289
10.
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.
Brief Bioinform
; 18(1): 105-124, 2017 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-26876889
11.
Unsupervised mining of frequent tags for clinical eligibility text indexing.
J Biomed Inform
; 46(6): 1145-51, 2013 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-24036004
12.
eTACTS: a method for dynamically filtering clinical trial search results.
J Biomed Inform
; 46(6): 1060-7, 2013 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-23916863
13.
A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria.
J Biomed Inform
; 46(1): 33-9, 2013 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-22846169
14.
Predicting hypertension onset from longitudinal electronic health records with deep learning.
JAMIA Open
; 5(4): ooac097, 2022 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-36448021
15.
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation.
Cardiovasc Digit Health J
; 3(5): 220-231, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-36310683
16.
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
IEEE Trans Big Data
; 7(1): 38-44, 2021 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-33768136
17.
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.
Patterns (N Y)
; 2(9): 100337, 2021 Sep 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34553174
18.
Contrastive learning improves critical event prediction in COVID-19 patients.
Patterns (N Y)
; 2(12): 100389, 2021 Dec 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34723227
19.
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
ArXiv
; 2021 Jan 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33442560
20.
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.
JMIR Med Inform
; 9(1): e24207, 2021 Jan 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-33400679