Suicidal behaviour prediction models using machine learning techniques: A systematic review
作者：
Highlights：
• Classification of an individual with suicidal behaviours using statistical techniques suffers from low predictive accuracy.
• Dynamic features of suicidal behaviours remain difficult to develop a prediction model that provides accurate prediction.
• Machine learning techniques are used to enhance and complement the clinical decision-making process in healthcare domain.
• Machine learning can classify suicidal behaviour with the growing availability of electronic health record and clinical data.
摘要
•Classification of an individual with suicidal behaviours using statistical techniques suffers from low predictive accuracy.•Dynamic features of suicidal behaviours remain difficult to develop a prediction model that provides accurate prediction.•Machine learning techniques are used to enhance and complement the clinical decision-making process in healthcare domain.•Machine learning can classify suicidal behaviour with the growing availability of electronic health record and clinical data.
论文关键词：Machine learning,Data mining,Suicidal behaviour,Prediction model
论文评审过程：Received 15 January 2022, Revised 12 August 2022, Accepted 29 August 2022, Available online 6 September 2022, Version of Record 9 September 2022.
论文官网地址：https://doi.org/10.1016/j.artmed.2022.102395
