David H. Rehkopf

According to our database, David H. Rehkopf authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Structured Insight from Unstructured Data: Large Language Models for SDOH-Driven Diabetes Risk Prediction.

Sasha Ronaghi, Prerit Choudhary, David H. Rehkopf, Bryant Lin

CoRR, January, 2026

2025

Linking national primary care electronic health records to individual records from the U.S. Census Bureau's American Community Survey: evaluating the likelihood of linkage based on patient health.

Aubrey Limburg, Nicole Gladish, David H. Rehkopf, Robert L. Phillips, Victoria Udalova

J. Am. Medical Informatics Assoc., 2025

Incorporating area-level social drivers of health in predictive algorithms using electronic health record data.

Agata Foryciarz, Nicole Gladish, David H. Rehkopf, Sherri Rose

J. Am. Medical Informatics Assoc., 2025

2024

Mitigating allocative tradeoffs and harms in an environmental justice data tool.

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf

Nat. Mac. Intell., 2024

2023

American Family Cohort, a data resource description.

Deepa Balraj, Ayin Vala, Shiying Hao, Melanie Philofsky, Anna Tsvetkova, Elena Trach, Shravani Priya Narra, Oleg Zhuk, Mary Shamkhorskaya, Jim Singer, Joseph Mesterhazy, Somalee Datta, Isabella Chu, David Rehkopf

CoRR, 2023

Potential for allocative harm in an environmental justice data tool.

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf

CoRR, 2023

2021

Machine learning in the social and health sciences.

Anja K. Leist, Matthias Klee, Jung Hyun Kim, David H. Rehkopf, Stéphane P. A. Bordas, Graciela Muniz-Terrera, Sara Wade

CoRR, 2021