Temporal Phenomics - A Powerful Approach Using AI to Achieve "Earlier Medicine"

Yu Chuan Jack Li

doi:10.3233/SHTI220949

Temporal Phenomics - A Powerful Approach Using AI to Achieve "Earlier Medicine"

Yu Chuan Jack Li

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The resurgence of machine learning AI has triggered the importance of collecting "personal big data" over a long period of time from wearable devices and EHRs. Collecting data from this large number of variables over a significant period of time has further induced the study on "Temporal Phenomics", which can be a powerful approach to achieve pre-emptive and "earlier medicine". The paper presents a methodology to make studying "Temporal Phenomics" more feasible and convenient without limitations on the number of variables and the length of time periods.

Original language	English
Pages (from-to)	177-179
Number of pages	3
Journal	Studies in Health Technology and Informatics
Volume	300
DOIs	https://doi.org/10.3233/SHTI220949
Publication status	Published - Oct 2022

Keywords

artificial intelligence
Decision making
temporal phenomics

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

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10.3233/SHTI220949

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Temporal Phenomics - A Powerful Approach Using AI to Achieve "Earlier Medicine"

Abstract

Keywords

ASJC Scopus subject areas

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