Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI)
Machine learning algorithms can be used to identify ADCS among gastroenterology patients. This can help facilitate the early detection and intervention of psychological disorders in gastroenterology patients' care.
Authors
- Min Hui Tan (ORCID: https://orcid.org/0000-0003-2807-6421)
- Jing Xiong
- Xu Long (ORCID: https://orcid.org/0000-0002-3212-9154)
- Zeyang Xia (ORCID: https://orcid.org/0000-0002-0075-7949)
- Jinjin Zhao (ORCID: https://orcid.org/0000-0001-8536-3510)
- Qing Liu (ORCID: https://orcid.org/0000-0003-2028-973X)
- Lijuan Feng (ORCID: https://orcid.org/0000-0002-5103-7239)
- Qian Zou (ORCID: https://orcid.org/0000-0002-6415-7862)
- Yushun Tao (ORCID: https://orcid.org/0009-0001-6252-9765)
- Yan Yan (ORCID: https://orcid.org/0009-0009-0033-7379)
- Uroosa Sehar
Institutions
- Central South University (CN)
- Shenzhen University (CN)
- Shanghai Jiao Tong University (CN)
- Chinese Academy of Sciences (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Xiangya Hospital Central South University (CN)
- Shenzhen Second People's Hospital (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1186/s12888-025-06666-x
- Primary Topic
- Cardiac Health and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province