A new paradigm for accelerating clinical data science at Stanford Medicine. - Somalee Datta; José D. Posada; Garrick Olson; Wencheng Li; Ciaran O'Reilly; Deepa Balraj; Joseph Mesterhazy; Joseph Pallas; Priyamvada Desai; Nigam Shah (CoRR, 2020)

Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research. - Tina Seto; Lillian Sung; José D. Posada; Priyamvada Desai; Susan Weber; Somalee Datta (CoRR, 2021)

A study linking patient EHR data to external death data at Stanford Medicine. - Alvaro Andres Alvarez Peralta; Priya Desai; Somalee Datta (CoRR, 2022)

Considerations in the reliability and fairness audits of predictive models for advance care planning. - Jonathan Lu; Amelia Sattler; Samantha Wang; Ali Raza Khaki; Alison Callahan; Scott L. Fleming; Rebecca Fong; Benjamin Ehlert; Ron C. Li; Lisa Shieh; Kavitha Ramchandran; Michael Gensheimer 001; et al. (Frontiers Digit. Health, 2022)

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. - Anna Ostropolets; Yasser Albogami; Mitchell Conover; Juan M. Banda; William A. Baumgartner Jr.; Clair Blacketer; Priyamvada Desai; Scott L. DuVall; Stephen P. Fortin; James P. Gilbert; Asieh Golozar; Joshua Ide; et al. (J. Am. Medical Informatics Assoc., 2023)

Comparison of deep learning and conventional methods for disease onset prediction. - Luis H. John; Chungsoo Kim; Jan A. Kors; Junhyuk Chang; Hannah Morgan-Cooper; Priya Desai; Chao Pang; Peter R. Rijnbeek; Jenna Marie Reps; Egill A. Fridgeirsson (CoRR, 2024)