Detalhe da pesquisa
1.
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J Biomed Inform
; 139: 104306, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36738870
2.
Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk.
J Med Internet Res
; 24(1): e28749, 2022 01 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35040794
3.
Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach.
J Med Internet Res
; 22(9): e20268, 2020 09 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-32975523
4.
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.
NPJ Digit Med
; 7(1): 82, 2024 Mar 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-38553625
5.
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.
PLOS Digit Health
; 3(4): e0000484, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38620037
6.
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
PLOS Digit Health
; 2(7): e0000301, 2023 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-37490472
7.
Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research.
JMIR Public Health Surveill
; 8(2): e32355, 2022 02 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-35156938
8.
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
NPJ Digit Med
; 5(1): 81, 2022 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35768548
9.
Digital public health surveillance: a systematic scoping review.
NPJ Digit Med
; 4(1): 41, 2021 Mar 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33658681