Jae Min

According to our database, Jae Min authored at least 5 papers between 2016 and 2021.

Collaborative distances:

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

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

Patterns, 2021

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

Proceedings of the DigiBiom@MobiSys '21: Proceedings of the 2021 Workshop on Future of Digital Biomarkers, 2021

2020

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

2018

Big data hurdles in precision medicine and precision public health.

Mattia Prosperi, Jae Min, Jiang Bian, François Modave

BMC Medical Informatics Decis. Mak., 2018

2016

Visual programming for next-generation sequencing data analytics.

Franco Milicchio, Rebecca Rose, Jiang Bian, Jae Min, Mattia Prosperi

BioData Min., 2016