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Design and Implementation of Infant Mental Health Prediction System Based on BP Algorithm

Published: 05 April 2024 Publication History

Abstract

5-6 years old is an important period for children to develop good habits, improve physical quality and form healthy psychology. Therefore, kindergarten should pay attention to the selection of teaching content of children's mental health education in the arrangement of education and teaching activities. This paper mainly studies the design and implementation of children's mental health prediction system based on Back Propagation (BP) algorithm. The data of children's mental health were collected through questionnaires to preschool teachers and parents, and the prediction model of children's mental health was constructed by using the data and BP algorithm. Based on the prediction model of children's mental health, combined with system development technology, this paper designs and implements the prediction system of children's mental health. The system can timely observe and predict children's mental health problems, and protect children's development.

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ISAIMS '23: Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science
October 2023
1394 pages
ISBN:9798400708138
DOI:10.1145/3644116
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 April 2024

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