从基于文本的数字媒体获得的见解,与心理健康和自杀预防有关,使用数据分析和机器学习:系统审查
Colm Sweeney1, Edel Ennis1, Maurice D Mulvenna2
1Department of Psychlogy, Ulster University, Coleraine, United Kingdom.
JMIR mental health
|June 27, 2024
概括
机器学习和数字媒体的数据分析为心理健康和自杀预防提供了洞察力. 这些工具可以预测个人心理健康,检测疾病,并评估干预的有效性.
科学领域:
- 数字健康数字健康
- 计算语言学 计算语言学
- 心理健康研究 心理健康研究
背景情况:
- 基于文本的数字媒体平台已经改变了沟通,提供了获得心理健康和自杀预防信息的机会.
- 了解心理健康和自杀行为对于开发有效的支持策略至关重要.
结论:
- 数据分析和机器学习为心理健康提供了宝贵的见解,包括种族群体之间抑郁症讨论的变化以及在COVID-19大流行期间增加的在线支持.
- 数字工具和应用程序在管理心理健康方面取得了成功,预测分析和虚拟现实显示出预防和护理的前景.
- 未来的研究应该优化基于文本的数字媒体分析算法,以加强心理健康和预防自杀的努力,包括开发人工智能驱动的干预措施,如聊天机器人.
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