Priyamvada Desai

According to our database, Priyamvada Desai authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification.

José D. Posada, David Love, Somalee Datta, Priya Desai

CoRR, May, 2026

2024

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

2023

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, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan

J. Am. Medical Informatics Assoc., April, 2023

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, Sarah Chobot, Stephen Pfohl, Siyun Li, Kenny Shum, Nitin Parikh, Priya Desai, Briththa Seevaratnam, Melanie Hanson, Margaret Smith, Yizhe Xu, Arjun Gokhale, Steven Lin, Michael A. Pfeffer, Winifred Teuteberg, Nigam H. Shah

Frontiers Digit. Health, 2022

A study linking patient EHR data to external death data at Stanford Medicine.

Alvaro Andres Alvarez Peralta, Priya Desai, Somalee Datta

CoRR, 2022

2021

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

2020

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