| For: | Chen JM, Rao M, Wei YT, Zhou QG, Tao JL, Wang SB, Bi B. Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China. World J Psychiatry 2025; 15(8): 106622 [PMID: 40837788 DOI: 10.5498/wjp.v15.i8.106622] |
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| URL: | https://www.wjgnet.com/2220-3206/full/v15/i8/106622.htm |
| Number | Citing Articles |
| 1 |
Junrong Li, Taolong Zhou, Zhongwen Feng, Xiaobing Zhai, Xiaoliang Li, Tao Luo, Henry Hoi Yee Tong, Kefeng Li, Mingxing Huang. Prediction of Depression in Women With Metabolic Dysfunction-Associated Fatty Liver Disease Using Routine Blood Tests: A Five-Year Longitudinal Analysis From the UK Biobank. Alpha Psychiatry 2026; 27(3) doi: 10.31083/AP46337
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| 2 |
Abigail Romero-Trejo, Angélica Guzmán-Ponce, Rosa María Valdovinos-Rosas, Laura Cleofas-Sánchez, Iván Francisco-Valencia. Pattern Recognition. Lecture Notes in Computer Science 2026; 16623 doi: 10.1007/978-3-032-28393-1_32
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| 3 |
Aadyaa Vijay, Anu Prabha. Machine Learning–Based Classification and Symptom Forecasting Across the Menopausal Transition Using Longitudinal Self-Reported Data. 2026 4th Cognitive Models and Artificial Intelligence Conference (AICCONF) 2026; doi: 10.1109/AICCONF69182.2026.11600689
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