摘要
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.
原文 | 英語 |
---|---|
頁(從 - 到) | 177-179 |
頁數 | 3 |
期刊 | Studies in Health Technology and Informatics |
卷 | 300 |
DOIs | |
出版狀態 | 已發佈 - 10月 2022 |
ASJC Scopus subject areas
- 生物醫學工程
- 健康資訊學
- 健康資訊管理