整体人格建模:一种跨学科的精神健康研究方法
Daniel Felsky1,2,3,4,5, Alyssa Cannitelli1,5, Jon Pipitone6
1Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8 Canada.
Discover mental health
|August 28, 2023
概括
心理疾病研究正朝着整合性方法发展,如全人建模. 这个框架结合了生物,心理和环境数据,以更好地理解和诊断.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 计算生物学 计算生物学
背景情况:
- 全球精神疾病负担需要创新的研究策略.
- 当前的神经精神病学研究往往被学科所隔离.
- 结合各种数据的综合性方法正在出现.
研究的目的:
- 描述当前的心理健康研究格局和向整合的转变.
- 引入一个定量整合性研究框架:全人建模.
- 探索全人建模的方法,并讨论跨学科研究.
主要方法:
- 审查现代心理健康研究趋势.
- 整个人模型的概念框架开发.
- 探索现有和新兴的定量技术.
主要成果:
- 整体人格建模为整合生物,认知和环境数据提供了一个框架.
- 这种方法可以增强对复杂心理健康现象的理解.
- 在临床决策中改善诊断和预后工具的潜力.
结论:
- 心理健康领域的跨学科研究具有巨大的潜力,但也面临着障碍.
- 障碍包括跨学科沟通,职业道路挑战和技术障碍.
- 本综述旨在揭穿数据驱动的跨学科心理健康研究的神秘面.
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