Detalhe da pesquisa
1.
An empirical characterization of fair machine learning for clinical risk prediction.
J Biomed Inform
; 113: 103621, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33220494
2.
Language models are an effective representation learning technique for electronic health record data.
J Biomed Inform
; 113: 103637, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33290879
3.
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study.
EClinicalMedicine
; 70: 102479, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38685924
4.
EHR foundation models improve robustness in the presence of temporal distribution shift.
Sci Rep
; 13(1): 3767, 2023 03 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36882576
5.
Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Methods Inf Med
; 62(1-02): 60-70, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36812932
6.
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
J Am Med Inform Assoc
; 30(12): 2004-2011, 2023 11 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-37639620
7.
The value of standards for health datasets in artificial intelligence-based applications.
Nat Med
; 29(11): 2929-2938, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37884627
8.
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation.
BMJ Health Care Inform
; 29(1)2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-35396247
9.
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations.
Sci Rep
; 12(1): 3254, 2022 02 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35228563
10.
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine.
Sci Rep
; 12(1): 2726, 2022 02 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-35177653
11.
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models.
Nat Commun
; 13(1): 1678, 2022 03 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-35354802
12.
Learning decision thresholds for risk stratification models from aggregate clinician behavior.
J Am Med Inform Assoc
; 28(10): 2258-2264, 2021 09 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-34350942
13.
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Appl Clin Inform
; 12(4): 808-815, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-34470057
14.
Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study.
Transl Psychiatry
; 11(1): 642, 2021 12 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-34930903
15.
Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network.
PLoS One
; 15(1): e0226718, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31910437
16.
Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction.
Front Neuroinform
; 12: 36, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29962944
17.
Tackling bias in AI health datasets through the STANDING Together initiative.
Nat Med
; 28(11): 2232-2233, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-36163296
18.
Characterization of the Contribution of Genetic Background and Gender to Disease Progression in the SOD1 G93A Mouse Model of Amyotrophic Lateral Sclerosis: A Meta-Analysis.
J Neuromuscul Dis
; 2(2): 137-150, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26594635