Visualization and stratification of heterogeneous subjective symptoms and associated factors for dry eye using mobile health

2021 Fiscal Year Final Research Report

• Project/Area Number: 20K23168
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Multi-year Fund
• Review Section: 0908:Society medicine, nursing, and related fields
• Research Institution: Juntendo University
• Principal Investigator: Inomata Akie 順天堂大学, 医学部, 非常勤助教 (70876680)
• Project Period (FY): 2020-09-11 – 2022-03-31
• Keywords: ドライアイ / モバイルヘルス / 層別化 / 予防医療 / 予測医療 / 個別化医療 / 参加型医療 / 多様性

Outline of Final Research Achievements

Dry eye is the most common ocular disease, affecting more than 20 million people in Japan, and is expected to increase in this era. However, the diversity of subjective symptoms of dry eye was sometimes considered an indefinite complaint and overlooked without treatment.
In this study, we collected individual medical big data related to dry eye, including subjective symptoms, environmental factors, lifestyle, and host factors, from a smartphone application. We stratified the various subjective symptoms of dry eye and clarified the characteristics of each stratified cluster. This study stratified various symptoms of dry eye into seven clusters using dimensional reduction algorithm, and identified the characteristics and related factors for each cluster.

Free Research Field

眼科

Academic Significance and Societal Importance of the Research Achievements

ドライアイに関する疫学的研究の多くは、老年者や病院受診者が対象となっており、若年層のデータの取得は比較的難しく、十分な個々人の多様性を検討できるデータ収集は難しかった。この課題に対してスマホアプリを用いた研究は、その簡便性から若年者データも幅広く収集できる特性がある。さらに、患者中心かつ日常生活圏からドライアイの自覚症状や生活習慣情報を継続して医療ビッグデータとして蓄積できる点で独創的である。