Detalhe da pesquisa
1.
A method for analyzing inpatient care variability through physicians' orders.
J Biomed Inform
; 91: 103111, 2019 03.
Artigo
Inglês
| MEDLINE | ID: mdl-30710635
2.
Discovering hidden knowledge through auditing clinical diagnostic knowledge bases.
J Biomed Inform
; 84: 75-81, 2018 08.
Artigo
Inglês
| MEDLINE | ID: mdl-29940263
3.
Ensemble learning to predict opioid-related overdose using statewide prescription drug monitoring program and hospital discharge data in the state of Tennessee.
J Am Med Inform Assoc
; 29(1): 22-32, 2021 12 28.
Artigo
Inglês
| MEDLINE | ID: mdl-34665246
4.
Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers.
JMIR Public Health Surveill
; 7(9): e24377, 2021 09 02.
Artigo
Inglês
| MEDLINE | ID: mdl-34473065
5.
Prognostic models will be victims of their own success, unless .
J Am Med Inform Assoc
; 26(12): 1645-1650, 2019 12 01.
Artigo
Inglês
| MEDLINE | ID: mdl-31504588
6.
Outpatient Engagement and Predicted Risk of Suicide Attempts in Fibromyalgia.
Arthritis Care Res (Hoboken)
; 71(9): 1255-1263, 2019 09.
Artigo
Inglês
| MEDLINE | ID: mdl-30192068
7.
Balancing Performance and Interpretability: Selecting Features with Bootstrapped Ridge Regression.
AMIA Annu Symp Proc
; 2018: 1377-1386, 2018.
Artigo
Inglês
| MEDLINE | ID: mdl-30815182
8.
X Marks the Spot: Mapping Similarity Between Clinical Trial Cohorts and US Counties.
AMIA Annu Symp Proc
; 2017: 1110-1119, 2017.
Artigo
Inglês
| MEDLINE | ID: mdl-29854179
9.
Explicit causal reasoning is preferred, but not necessary for pragmatic value.
J Am Med Inform Assoc
; 26(12): 1677-1678, 2019 12 01.
Artigo
Inglês
| MEDLINE | ID: mdl-31722412