Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China

doi:10.5498/wjp.v15.i8.106622

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World Journal of Psychiatry

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2220-3206

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Psychiatry. Aug 19, 2025; 15(8): 106622
Published online Aug 19, 2025. doi: 10.5498/wjp.v15.i8.106622

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Figure 6 Nomogram for predicting the risk of depression based on insomnia, anxiety symptoms, chronic disease, exercise, and age. The total points are used to calculate the linear predictor and risk probability.

Citation: 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
URL: https://www.wjgnet.com/2220-3206/full/v15/i8/106622.htm
DOI: https://dx.doi.org/10.5498/wjp.v15.i8.106622

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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