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.
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CITATION STYLE
Li, Y. C. (Jack). (2022). Temporal Phenomics-A Powerful Approach Using AI to Achieve “Earlier Medicine.” In Studies in Health Technology and Informatics (Vol. 300, pp. 177–179). IOS Press BV. https://doi.org/10.3233/SHTI220949
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