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Predicted Number of Pregnant Women in Aichi Prefecture, Japan: Estimation by Machine Learning Database Construction for Disaster Preparation

Published online by Cambridge University Press:  04 June 2021

Kanetoshi Hattori  and
Ritsuko Hattori
Kanetoshi Hattori*
Affiliation:
Faculty of Health Science, Naragakuen University, Nara, Japan
Ritsuko Hattori
Affiliation:
Faculty of Health Science, Naragakuen University, Nara, Japan
*
Corresponding author: Kanetoshi Hattori, Email: [email protected].
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Abstract

Aichi prefecture, Japan is predicted to be hit by Mega-earthquake. Aichi Prefectural Association of Midwives has been making efforts to improve disaster preparedness for pregnant women. This project aims to acquire area data of pregnant women for simulated studies of rescue activities. Number of women in census survey areas in Nagoya City was acquired from nationwide data of pregnant women by machine learning (Cascade-Correlation Learning Architecture). Quite high correlation coefficients between actual data and estimation data were observed. Rescue simulations have been carried out based on the data acquired by this study.

Keywords

pregnant womenmachine learningdisaster planningmidwifeCascade-Correlation Learning Architecture
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 16 , Issue 3 , June 2022 , pp. 940 - 948
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2021

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