预测心理健康治疗结果使用潜增长混合模型和机器学习在现实世界的临床环境中
Lee Lancashire1, Steven Lancaster2, David Linkh2
1Cohen Veterans Bioscience, New York, NY, USA.
Journal of psychiatric research
|December 17, 2024
概括
机器学习模型在15000名客户中确定了不同的抑郁轨迹. 这些模型使用基线数据准确预测患者的结果,提高了个性化治疗的潜力.
科学领域:
- 临床心理学 临床心理学
- 数据科学数据科学数据科学
- 精神病学是一个精神病学.
背景情况:
- 抑郁症结果的预测受到患者异质性的挑战.
- 以前的模型在捕捉不同患者轨迹方面缺乏精度.
- 识别不同的患者群体对于有效治疗至关重要.
研究的目的:
- 在大量临床人群中确定不同的抑郁症结局轨迹.
- 开发和验证用于预测这些轨迹的机器学习模型.
- 为了利用基线数据进行个性化治疗预测.
主要方法:
- 在2015年至2020年期间对15000名 (18-89岁) 客户进行了回顾性分析.
- 潜增长混合模型模型,以识别患者轨迹组.
- 机器学习模型开发用于从基线数据预测群体成员资格.
主要成果:
- 确定了三个不同的抑郁轨迹:低低 (56%),高低 (18%) 和高高 (26%).
- 机器学习模型实现了高预测精度 (平衡精度为0.67-0.93,ROC-AUC为0.87-0.97).
- 关键预测因素包括基线PHQ-9分数,性别,年龄和PTSD诊断.
结论:
- 机器学习从最初的客户端数据中有效预测抑郁的轨迹和结果.
- 确定的患者子组在基线因素和结果中表现出显著差异.
- 这种方法有可能提高治疗个性化和临床疗效.
更多相关视频
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
7.5K
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.2K
相关概念视频
Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Mechanistic Models: Compartment Models in Individual and Population Analysis
27
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
27
Treatment Strategies for Psychological Disorders
89
Treatment approaches for psychological disorders fall into three main categories: psychological, biological, and sociocultural. Each approach targets different aspects of mental health, requiring varying levels of education and training.
Psychological therapies focus on modifying emotions, thoughts, and behaviors through talking, interpreting, listening, rewarding, challenging, and modeling. Clinical psychologists, counselors, and social workers commonly practice psychotherapy. Clinical...
Psychological therapies focus on modifying emotions, thoughts, and behaviors through talking, interpreting, listening, rewarding, challenging, and modeling. Clinical psychologists, counselors, and social workers commonly practice psychotherapy. Clinical...
89
Modeling in Therapy
46
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
46
