The Research on the Key Pathogenic Factors of Depression

Shaozong Liang

2025

Abstract

Depression is a significant public health concern, posing critical risks such as suicide. This study investigates the key pathogenic factors of depression using clinical data sourced from the Kaggle website, comprising 413768 instances with 15 variables, including socioeconomic, lifestyle, and medical factors. The Random Forest algorithm is employed to analyze the correlation between these variables and chronic medical conditions (depression). The model identified income as the most critical predictor of depression, with an importance score of 0.668, followed by the number of children and history of substance abuse. Descriptive analysis further revealed that low-income groups, individuals with lower education levels, and non-smokers exhibited higher rates of chronic medical conditions. These findings underscore the pivotal role of socioeconomic and lifestyle factors in the prevalence of depression, offering valuable insights for targeted healthcare interventions and preventive strategies. While the current model demonstrates moderate predictive accuracy, future research should focus on expanding the dataset, incorporating additional clinical variables, and comparing results across multiple machine learning models to enhance predictive performance and generalizability. The approach holds promise for advancing the understanding of depression and improving mental health outcomes globally.

Paper Citation

in Harvard Style

Liang S. (2025). The Research on the Key Pathogenic Factors of Depression. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 605-609. DOI: 10.5220/0013834000004708

in Bibtex Style

@conference{iampa25,
author={Shaozong Liang},
title={The Research on the Key Pathogenic Factors of Depression},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={605-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013834000004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - The Research on the Key Pathogenic Factors of Depression
SN - 978-989-758-774-0
AU - Liang S.
PY - 2025
SP - 605
EP - 609
DO - 10.5220/0013834000004708
PB - SciTePress