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Updated: Mar 17, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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机器学习模型用于预测抗精神病药物的有效性和在住院精神分裂症患者的单独成本效益分析

Jiatong Zhang1, Qian Xu2, WenLong Jiang3

  • 1College of Pharmacy, Qiqihar Medical University, Qiqihar, Heilongjiang, People's Republic of China.

Neuropsychiatric disease and treatment
|March 16, 2026
PubMed
概括

一个机器学习模型准确地预测了精神分裂症患者抗精神病治疗的疗效. 里斯佩里成为最具成本效益的治疗方法,优化了患者护理和降低医疗保健费用.

关键词:
抗精神病药物 抗精神病药物经济效益性 经济效益性机器学习是机器学习.预测 预测 预测 预测精神分裂症是一种精神分裂症.

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