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Updated: Jul 15, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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统计和人工智能技术用于识别儿童和青少年自杀的风险因素

Michaela Servi1, Silvia Chiaro2, Elisa Mussi1

  • 1Department of Industrial Engineering, University of Florence, Florence, Italy.

Science progress
|October 3, 2023
PubMed
概括

12岁以下患有破坏性疾病的年轻人面临更高的自杀风险. 自杀意愿是一个被低估的因素,人工智能可以帮助评估风险.

关键词:
自杀行为和想法.人工智能的人工智能是人工智能.儿童和青少年儿童和青少年自杀的风险和预测因素

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