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1.
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
BMC Bioinformatics
; 23(Suppl 3): 140, 2022 Apr 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-35439945
2.
Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED).
BMC Med Inform Decis Mak
; 21(1): 112, 2021 04 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33812369
3.
A Feasibility Study: Testing Whether a Sleep Application Providing Objective Sleep Data to Physicians Improves Patient-Physician Communication Regarding Sleep Experiences, Habits, and Behaviors.
Adv Ther
; 39(4): 1612-1629, 2022 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35133630
4.
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Comput Methods Programs Biomed
; 210: 106395, 2021 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-34525412
5.
Survival, Chemotherapy Treatments, and Health Care Utilization Among Patients with Advanced Small Cell Lung Cancer: An Observational Study.
Adv Ther
; 37(1): 552-565, 2020 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31828610
6.
A randomized study on the usefulness of an electronic outpatient hypoglycemia risk calculator for clinicians of patients with diabetes in a safety-net institution.
Curr Med Res Opin
; 36(4): 583-593, 2020 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-31951747
7.
Quantifying Unmet Need in Statin-Treated Hyperlipidemia Patients and the Potential Benefit of Further LDL-C Reduction Through an EHR-Based Retrospective Cohort Study.
J Manag Care Spec Pharm
; 25(5): 544-554, 2019 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-31039062
8.
Predictive modeling of hypoglycemia for clinical decision support in evaluating outpatients with diabetes mellitus.
Curr Med Res Opin
; 35(11): 1885-1891, 2019 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-31234649
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