Forecasting daily bathtub-drowning mortality in Japan: a comparative analysis of statistical, machine learning, and deep learning approaches.

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Bibliographic Details
Title: Forecasting daily bathtub-drowning mortality in Japan: a comparative analysis of statistical, machine learning, and deep learning approaches.
Authors: Tai Y; Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan., Obayashi K; Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan., Yamagami Y; Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan., Saeki K; Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan.
Source: Frontiers in public health [Front Public Health] 2025 Dec 10; Vol. 13, pp. 1715622. Date of Electronic Publication: 2025 Dec 10 (Print Publication: 2025).
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2565
DOI:10.3389/fpubh.2025.1715622