Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms
The study has successfully developed a predictive model for MDD, specifically tailored for adults living alone using a stacked ensemble technique, enhancing the identification of MDD and its risk factors among adults living alone.
Authors
- Fei Xing
- Xiang Zhou (ORCID: https://orcid.org/0000-0001-7451-7190)
- Jiabao Jiang (ORCID: https://orcid.org/0000-0002-4230-5051)
- Xin Duan (ORCID: https://orcid.org/0000-0002-8090-6202)
- Yao Zhang (ORCID: https://orcid.org/0000-0002-7992-4980)
- Hao Liu (ORCID: https://orcid.org/0000-0003-2467-6729)
- Zhao Chen (ORCID: https://orcid.org/0000-0002-7957-9988)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Chengdu Fifth People's Hospital (CN)
- Sichuan Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3389/fpubh.2025.1472050
- Citations
- 2
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 4.33
Funders
- National Natural Science Foundation of China
- Department of Science and Technology of Sichuan Province
- Sichuan University