Publication Name	World Journal of Psychiatry
Manuscript ID	113124
Country	China

Category	Psychiatry
Manuscript Type	Retrospective Study
Article Title	Gradient boosting machine model predicts psychiatric complications after deep brain stimulation in Parkinson’s disease
Manuscript Source	Unsolicited Manuscript
All Author List	Sha Liao, Ji-Wei Tang and Yong Li
Funding Agency and Grant Number
Corresponding Author	Yong Li, Chief Physician, MD, Department of Anesthesiology, The Second People’s Hospital of Hunan Province (Brain Hospital of Hunan Province), Section 3, No. 427 Furong Middle Road, Changsha 410000, Hunan Province, China. ly13975136864@163.com
Key Words	Parkinson’s disease; Deep brain stimulation; Postoperative complications; Gradient boosting machine; Prediction model
Core Tip	This study developed a gradient boosting machine (GBM) model to predict psychiatric complications (depression, anxiety, cognitive impairment, and delirium) in patients with Parkinson’s disease after deep brain stimulation surgery. By analyzing data from 234 patients, the model identified five critical risk factors: Age, surgery duration, fasting time, Family Relationship Health Assessment Scale score, and motor symptom severity (Unified Parkinson’s Disease Rating Scale Part III score). These factors collectively explained 37.6% complication incidence. The GBM model achieved high predictive accuracy (80.0%), sensitivity (95.7%), and area under the curve (0.896) in external validation (65 patients). Decision curve analysis confirmed the optimal clinical utility for risk thresholds between 0.09-0.70, enabling preoperative risk stratification and personalized interventions to mitigate postoperative neuropsychiatric risks.
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 2025; In press

Received	2025-09-03 09:11
Peer-Review Started	2025-09-03 09:11
To Make the First Decision
Return for Revision	2025-09-20 01:52
Revised	2025-10-08 13:55
Second Decision	2025-11-05 02:43
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-11-05 08:13
Articles in Press	2025-11-05 08:13
Publication Fee Transferred	2025-10-17 08:44
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-3206 (online)
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