To do so, establishing a statistical analysis system and a full cycle management system is required.
6 Therefore, recording clinical information and lifelog data, including lifestyle habits, and integrating them into the one big data platform could potentially help with managing chronic diseases. 5 Therefore, it is difficult to conclude that systems to prevent chronic diseases in Korea work well. The mortality rate due to chronic lower respiratory tract diseases, including COPD, ranked 8th highest in causing deaths (12.9 people per 10000) in 2018, despite showing lower mortality in well managed COPD patients. 3, 4 Additionally, chronic obstructive pulmonary disease (COPD) was highly prevalent in 13.3% of adults over 40% and 28.3% of people over 65 years in 2017. 2 20.9% of diabetic patients require active treatment with glycated hemoglobin (HbA1C) above 8.0% however, only 8.4% of them show controlled blood glucose, blood pressure, and total cholesterol. However, perception, treatment, and control rates are significantly low in young hypertensive patients aged 20–39 years, compared to other age groups. The management of chronic disease is expanding from the hospital to the individual with the development of digital health and information technology. Rates of chronic disease and death have increased with increases in the aging population. However, it can be difficult to actively use lifelogged data because their fragments are stored by various entities, such as local hospitals, service providers, and individuals. Therefore, lifelog data are developing into novel research topics, particularly in regards to whether they can improve daily life quality and expand insights into digital health and precision medicine. A lifelog dataset is informative and powerful in developing digital healthcare services because clinical data can be included in daily life. 1 The lifelog datasets for digital health consist of one’s daily life data and clinical data for individuals in hospitals. Lifelogging refers to the processes of data acquisition and using various sensors and smart devices. Lifelogs are real-world data on daily life that are usually stored in personal storage or cloud storage.
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