Predicting demand for long-term care using Japanese healthcare insurance claims data.
Journal Information
Full Title: Environ Health Prev Med
Abbreviation: Environ Health Prev Med
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Environmental Health
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Declarations Ethics approval and consent to participateThis study was approved by the Ethical Review Board of Institute for Health Economics and Policy (H30-006) on October 29th, 2018. The informed consent was waived due to the dataset anonymity. Consent for publicationNot applicable. Availability of data and materialThe Gifu dataset included in the study was provided by the regional public healthcare insurers in Gifu with the approval of the personal information protection commission in charge of each of the 42 local government areas and by contract with the local governments and the insurers. The dataset can be utilized for the limited use and its sharing with third parties is not allowed but needs the additional permission of the regional insurers in Gifu, Japan. Competing interestsThe authors declare that they have no competing interests. FundingThis work was supported in part by the Health Labour Sciences Research Grant (Ministry of Health, Labour and Welfare, Japan), the Funding Program for World-Leading Innovative R&D on Science and Technology (Cabinet Office, Japan), the Impulsing Paradigm Change through Disruptive Technologies Program (Cabinet Office, Japan), and ICT infrastructure establishment and implementation of artificial intelligence for clinical and medical research (Japan Agency for Medical Research and Development). Authors’ contributionsJS and KG devised the main idea for the work. JS, KG, and MK designed the study, developed the analysis platform, implemented the algorithm, preprocessed the data, prepared the datasets, and performed the validations. JS and KG wrote the original draft and edited the final manuscript. TI and NM facilitated the study and collected the data. All authors discussed the results and contributed to the final manuscript. AcknowledgementsNot applicable. Competing interests The authors declare that they have no competing interests."
"Funding This work was supported in part by the Health Labour Sciences Research Grant (Ministry of Health, Labour and Welfare, Japan), the Funding Program for World-Leading Innovative R&D on Science and Technology (Cabinet Office, Japan), the Impulsing Paradigm Change through Disruptive Technologies Program (Cabinet Office, Japan), and ICT infrastructure establishment and implementation of artificial intelligence for clinical and medical research (Japan Agency for Medical Research and Development)."
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Last Updated: Aug 05, 2025