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2020 – today
- 2021
[j4]Allison Shapiro
, Nicole Marinsek, Ieuan Clay, Benjamin Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini:
Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. Patterns 2(1): 100188 (2021)- [c1]Mariko Makhmutova, Raghu Kainkaryam, Marta Ferreira, Jae Min, Martin Jaggi, Ieuan Clay:
Prediction of self-reported depression scores using person-generated health data from a virtual 1-year mental health observational study. DigiBiom@MobiSys 2021: 4-11 - [d1]Mariko Makhmutova, Raghu Kainkaryam, Marta Ferreira, Jae Min, Martin Jaggi, Ieuan Clay:
PSYCHE-D: predicting change in depression severity using person-generated health data (DATASET). Zenodo, 2021
- 2020
- [j3]Xinsong Du, Jae Min, Chintan P. Shah, Rohit Bishnoi, William R. Hogan, Dominick J. Lemas:
Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models. Int. J. Medical Informatics 139: 104140 (2020)
2010 – 2019
- 2018
- [j2]Mattia Prosperi, Jae Min, Jiang Bian, François Modave:
Big data hurdles in precision medicine and precision public health. BMC Medical Informatics Decis. Mak. 18(1): 139:1-139:15 (2018) - 2016
- [j1]Franco Milicchio, Rebecca Rose, Jiang Bian, Jae Min, Mattia Prosperi:
Visual programming for next-generation sequencing data analytics. BioData Min. 9: 16 (2016)
Coauthor Index
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