Benjamin Drum
Biographic Data
| ID | 9647004 |
|---|---|
| NAME | Benjamin Drum |
| GIVEN NAMES | Benjamin |
| FAMILY NAME | Drum |
| SIGNATURE | DRUM B |
| AFFILIATIONS | B. Drum, S. Lamb, C. Gradick, University of Utah School of Medicine; J. Shi, B. Peterson, J.F. Hurdle, University of Utah |
| ORCID | 0000-0001-6056-9037 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications
Using Natural Language Processing to Identify Key Values in Internal Medicine-Pediatrics Residency Applications
Purpose: Recruitment of excellent medical residents is a priority for all residency programs, but studies suggest traditional quantitative evaluation poorly predicts resident performance. Furthermore, current metrics have been found to be socioeconomically and racially biased. Several organizations including the Association of American Medical Colleges (AAMC) have urged adoption of holistic review to consider the whole applicant in relation to a …
No prominent works on this page.
Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications
Using Natural Language Processing to Identify Key Values in Internal Medicine-Pediatrics Residency Applications
Purpose: Recruitment of excellent medical residents is a priority for all residency programs, but studies suggest traditional quantitative evaluation poorly predicts resident performance. Furthermore, current metrics have been found to be socioeconomically and racially biased. Several organizations including the Association of American Medical Colleges (AAMC) have urged adoption of holistic review to consider the whole applicant in relation to a …
Artificial Intelligence (2 works) · Computer Science (2 works) · Diversity and Career in Medicine (2 works) · Medical education (2 works) · Medicine (2 works) · MEDLINE (2 works) · Psychology (2 works) · Social Psychology (2 works) · Teamwork (2 works) · Artificial Intelligence in Healthcare and Education (1 work)