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| 机器学习在心理卫生领域的应用 |
| 王兢1,2△,尚志蕾1,2△,刘伟志1,2,3* |
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(1. 海军军医大学(第二军医大学)心理系基础心理学教研室, 上海 200433;
2. 海军军医大学(第二军医大学)心理系 PTSD 防护实验室, 上海 200433;
3. 华东师范大学心理与认知科学学院, 上海市心理健康与危机干预重点实验室, 上海 200062
△共同第一作者
*通信作者) |
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| 摘要: |
| 机器学习是一种强大的数据分析技术，能够收集分析海量数据和隐藏的信息，帮助解决心理卫生领域急需的多维数据综合诊断、个体化干预和治疗等问题。本文对机器学习在心理卫生领域的应用按照诊断、治疗和预后三部分进行综述，并从大、小两个维度陈述技术优势，展望发展前景，同时分析该领域可能面临的风险和挑战。 |
| 关键词: 机器学习 心理卫生 心理障碍 大数据 |
| DOI：10.16781/j.CN31-2187/R.20220830 |
| 投稿时间：2022-10-25修订日期：2023-05-30 |
| 基金项目:国家自然科学基金面上项目（32071086），“三航两海”创新团队项目（20200106），海军科技供给项目（2020JY17），未来战争医学防护课题（2019WLMS-15），上海市科技计划项目（20dz2260300），中央高校基本科研业务费专项资金. |
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| Application of machine learning in mental health |
| WANG Jing1,2△,SHANG Zhilei1,2△,LIU Weizhi1,2,3* |
(1. Department of Basic Psychology, Faculty of Psychology, Naval Medical University (Second Military Medical University), Shanghai 200433, China;
2. Lab for Post-Traumatic Stress Disorder, Faculty of Psychology, Naval Medical University (Second Military Medical University), Shanghai 200433, China;
3. Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, The School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
△Co-first authors.
* Corresponding author) |
| Abstract: |
| Machine learning is a powerful data analysis technique that can collect and analyze massive data and hidden information, solving the problems of comprehensive diagnosis of multidimensional data, and personalized intervention and treatment, which is urgently needed in the field of mental health. This paper reviews the application of machine learning in diagnosis, treatment, and prognosis of mental health. We also introduced the advantages prospect of the technology in 2 dimensions (big and small), and analyzed the possible risks and challenges in the field. |
| Key words: machine learning mental health mental disorder big data |
