Po-Hsiang Chiu

发表

Predicting youth diabetes risk using NHANES data and machine learning

G. Pandey, Linhua Wang, N. Vangeepuram, 2019, Scientific Reports.

Bulk Learning on EHR Data

George Hripcsak, Po-Hsiang Chiu, G. Hripcsak, 2016, AMIA.

Sequencing EHR for Disease Subtyping

Chunhua Weng, Ning Shang, Po-Hsiang Chiu, 2018, AMIA.

Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts

M. Huber, Po-Hsiang Chiu, 2022, ArXiv.

Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts

M. Huber, Po-Hsiang Chiu, 2022, ArXiv.

Estimating youth diabetes risk using NHANES data and machine learning

N. Vangeepuram, Bian Liu, Po-Hsiang Chiu, 2020 .

Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.

G. Pandey, L. Claudio, S. Bunyavanich, 2021, The Journal of clinical investigation.

Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records

Casey N. Ta, C. Weng, C. Ta, 2022, J. Am. Medical Informatics Assoc..

Pilot factory – a Condor-based system for scalable Pilot Job generation in the Panda WMS framework

M. Potekhin, Po-Hsiang Chiu, M. Potekhin, 2010 .

EHR-based phenotyping: Bulk learning and evaluation

George Hripcsak, Po-Hsiang Chiu, G. Hripcsak, 2017, J. Biomed. Informatics.