Jae Min

Causal inference and counterfactual prediction in machine learning for actionable healthcare

Mattia Prosperi, Yi Guo, Matthew Sperrin et al. · Nature Machine Intelligence · 2020 · 386 citations

Artificial Intelligence, Causal Model, Health Informatics +12

Big data hurdles in precision medicine and precision public health

Mattia Prosperi, Jae Min, Jiang Bian et al. · BMC Medical Informatics and Decision Making · 2018 · 204 citations · Full text

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

Allison Shapiro, Nicole Marinsek, Ieuan Clay et al. · Patterns · 2020 · 80 citations · Full text

Phylodynamic applications in 21st century global infectious disease research

Brittany Rife Magalis, Carla Mavian, Xinguang Chen et al. · Global Health Research and Policy · 2017 · 49 citations · Full text

Reported Adverse Events with Painkillers: Data Mining of the US Food and Drug Administration Adverse Events Reporting System

Jae Min, Vicki Osborne, Allison Kowalski et al. · Drug Safety · 2017 · 38 citations

Drug Safety, Opioid Epidemic, Substance Abuse +14