Visual programming for next-generation sequencing data analytics. - Franco Milicchio; Rebecca Rose; Jiang Bian 001; Jae Min; Mattia Prosperi (BioData Min., 2016)

Big data hurdles in precision medicine and precision public health. - Mattia Prosperi; Jae Min; Jiang Bian 001; François Modave (BMC Medical Informatics Decis. Mak., 2018)

Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models. - Xinsong Du; Jae Min; Chintan P. Shah; Rohit Bishnoi; William R. Hogan; Dominick J. Lemas (Int. J. Medical Informatics, 2020)

Prediction of self-reported depression scores using person-generated health data from a virtual 1-year mental health observational study. - Mariko Makhmutova; Raghu Kainkaryam; Marta Ferreira; Jae Min; Martin Jaggi; Ieuan Clay (DigiBiom@MobiSys, 2021)

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. - Allison Shapiro; Nicole Marinsek; Ieuan Clay; Benjamin Bradshaw; Ernesto Ramirez; Jae Min; Andrew Trister; Yuedong Wang; Tim Althoff; Luca Foschini 002 (Patterns, 2021)

PSYCHE-D: predicting change in depression severity using person-generated health data (DATASET). - Mariko Makhmutova; Raghu Kainkaryam; Marta Ferreira; Jae Min; Martin Jaggi; Ieuan Clay (Zenodo, 2021)