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 languageEnglish
Pages (from-to)177-179
Number of pages3
JournalStudies in Health Technology and Informatics
Publication statusPublished - Oct 2022


  • artificial intelligence
  • Decision making
  • temporal phenomics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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