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http://dx.doi.org/10.17703/JCCT.2022.8.2.1

Lifelog Analysis and Future using Artificial Intelligence in Healthcare  

Park, Minseo (Dept. of Data Science, Seoul Women's Univ)
Publication Information
The Journal of the Convergence on Culture Technology / v.8, no.2, 2022 , pp. 1-6 More about this Journal
Abstract
Lifelog is a digital record of an individual collected from various digital sensors, and includes activity amount, sleep information, weight change, body mass, muscle mass, fat mass, etc. Recently, as wearable devices have become common, a lot of high-quality lifelog data is being produced. Lifelog data shows the state of an individual's body, and can be used not only for individual health care, but also for causes and treatment of diseases. However, at present, AI/ML-based correlation analysis and personalization are not reflected. It is only at the level of presenting simple records or fragmentary statistics. Therefore, in this paper, the correlation/relationship between lifelog data and disease, and AI/ML technology inside lifelog data are examined, and furthermore, a lifelog data analysis process based on AI/ML is proposed. The analysis process is demonstrated with the data collected in the actual Galaxy Watch. Finally, we propose a future convergence service roadmap including lifelog data, diet, health information, and disease information.
Keywords
Lifelog; AI/ML; Disease; Healthcare; Convergence Service;
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