Gradient boosting machine model predicts psychiatric complications after deep brain stimulation in Parkinson’s disease

doi:10.5498/wjp.v16.i2.113124

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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. Feb 19, 2026; 16(2): 113124
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.113124

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Figure 7 Application effect of the gradient boosting machine prediction model. A: Receiver operating characteristic; B: Calibration curve. ROC: Receiver operating characteristic; Dxy: Somers’ Dxy rank correlation; D: Discrimination index; U: Unreliability index; Q: Quality index; Eavg: Average error; S:z: Z value of the z test; S:p: P value of the z test.

Citation: Liao S, Tang JW, Li Y. Gradient boosting machine model predicts psychiatric complications after deep brain stimulation in Parkinson’s disease. World J Psychiatry 2026; 16(2): 113124
URL: https://www.wjgnet.com/2220-3206/full/v16/i2/113124.htm
DOI: https://dx.doi.org/10.5498/wjp.v16.i2.113124

Liao S, Tang JW, Li Y. Gradient boosting machine model predicts psychiatric complications after deep brain stimulation in Parkinson’s disease. World J Psychiatry 2026; 16(2): 113124 [PMID: 41641213 DOI: 10.5498/wjp.v16.i2.113124]

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