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Using algorithms to address trade-offs inherent in predicting recidivism.利用算法解决预测累犯所固有的权衡问题。
Behav Sci Law. 2020 May;38(3):259-278. doi: 10.1002/bsl.2465. Epub 2020 May 5.
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Action-Informed Artificial Intelligence-Matching the Algorithm to the Problem.行动导向型人工智能——使算法与问题相匹配
JAMA. 2020 Jun 2;323(21):2141-2142. doi: 10.1001/jama.2020.5035.
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Toward a Distinct Mental Disorder-Suicidal Behavior.迈向一种独特的精神障碍——自杀行为。
JAMA Psychiatry. 2020 Jul 1;77(7):661-662. doi: 10.1001/jamapsychiatry.2020.0111.
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Machine learning methods in psychiatry: a brief introduction.精神病学中的机器学习方法：简要介绍。
Gen Psychiatr. 2020 Feb 3;33(1):e100171. doi: 10.1136/gpsych-2019-100171. eCollection 2020.
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Trends in US Suicide Deaths, 1999 to 2017, in the Context of Suicide Prevention Legislation.美国自杀死亡趋势，1999 年至 2017 年，在预防自杀立法背景下。
JAMA Pediatr. 2020 May 1;174(5):499-500. doi: 10.1001/jamapediatrics.2019.6066.
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Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.利用丹麦的机器学习和单一支付者健康保险登记数据预测性别特异性自杀风险
JAMA Psychiatry. 2020 Jan 1;77(1):25-34. doi: 10.1001/jamapsychiatry.2019.2905.
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Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.利用数字健康和机器学习减少自杀——从万灵药到实用工具。
JAMA Psychiatry. 2019 Oct 1;76(10):999-1000. doi: 10.1001/jamapsychiatry.2019.1231.
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Machine learning methods for developing precision treatment rules with observational data.基于观察性数据开发精准治疗规则的机器学习方法。
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Machine Learning Approaches for Clinical Psychology and Psychiatry.机器学习在临床心理学和精神病学中的应用。
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Animal models to improve our understanding and treatment of suicidal behavior.用于增进我们对自杀行为的理解和治疗的动物模型。
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Machine learning algorithms for suicide risk: a premature arms race?

作者信息

Lennon Jack C

机构信息

Department of Psychology, Adler University, Chicago, Illinois, USA.

出版信息

Gen Psychiatr. 2020 Oct 1;33(6):e100269. doi: 10.1136/gpsych-2020-100269. eCollection 2020.

DOI:10.1136/gpsych-2020-100269
PMID:33089067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7534051/
Abstract
摘要