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Research Letter (44) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1030) Public (e)Health, Digital Epidemiology and Public Health Informatics (1088) Public Health (264) mHealth for Data Collection and Research (1252) Development and Evaluation of Research Methods, Instruments and Tools (798)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88696, first published .
Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study

Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study

Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study

Authors of this article:

Kenichi Kishi1 Author Orcid Image ;   Hisashi Hayashi1 Author Orcid Image ;   Shigeomi Koshimizu1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Kenichi Kishi   1 , MOT ;   Hisashi Hayashi   1 , PhD ;   Shigeomi Koshimizu   1 , PhD

1 Advanced Institute of Industrial Technology, Tokyo, Japan

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