Michael Harhay
Biographic Data
| ID | 5546985 |
|---|---|
| NAME | Michael Harhay |
| GIVEN NAMES | Michael |
| FAMILY NAME | Harhay |
| SIGNATURE | HARHAY M |
| AFFILIATIONS | Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models Extension
Introduction: Despite mounting evidence that the inclusion of race and ethnicity in clinical prediction models may contribute to health disparities, existing critical appraisal tools do not directly address such equity considerations. Objective: This study developed a critical appraisal tool extension to assess algorithmic bias in clinical prediction models. Methods: A modified e-Delphi approach was utilized to develop and obtain expert consensus…
Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine †Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine ‡Leonard Davis Institute of Health Economics §Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA G.E.W. is supported by NIH T32 HL098054. M.O.H. declares no conflict of interest
No prominent works on this page.
Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine †Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine ‡Leonard Davis Institute of Health Economics §Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA G.E.W. is supported by NIH T32 HL098054. M.O.H. declares no conflict of interest
Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models Extension
Introduction: Despite mounting evidence that the inclusion of race and ethnicity in clinical prediction models may contribute to health disparities, existing critical appraisal tools do not directly address such equity considerations. Objective: This study developed a critical appraisal tool extension to assess algorithmic bias in clinical prediction models. Methods: A modified e-Delphi approach was utilized to develop and obtain expert consensus…
Health care (2 works) · Medicine (2 works) · Political science (2 works) · Actuarial science (1 work) · Acute Myocardial Infarction Research (1 work) · Alternative medicine (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Biostatistics (1 work) · Business (1 work) · Clinical epidemiology (1 work)