Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

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第一作者： Sonia,Baee

第一单位： Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.

作者： Sonia,Baee ^[1] ; Jeremy W,Eberle ^[2] ; Anna N,Baglione ^[1] ; Tyler,Spears ^[3] ; Elijah,Lewis ^[4] ; Hongning,Wang ^[5] ; Daniel H,Funk ^[6] ; Bethany,Teachman ^[2] ; Laura,E Barnes ^[1]

作者单位： Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States. ^[1] Department of Psychology, University of Virginia, Charlottesville, VA, United States. ^[2] Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States. ^[3] Department of Computer Science, University of Virginia, Charlottesville, VA, United States. ^[4] Department of Computer Science and Technology, Tsinghua University, Beijing, China. ^[5] Sartography, Staunton, VA, United States. ^[6]

关键词 CBM-I attrition prediction cognitive bias modification digital mental health intervention dropout rate personalization user engagement

主题词人类(Humans);女(雌)性(Female);男(雄)性(Male);成年人(Adult);焦虑(Anxiety);中年人(Middle Aged);中止治疗的病人(Patient Dropouts);因特网(Internet);青年人(Young Adult);思考(Thinking)

DOI 10.2196/51567

PMID 39705068

发布时间 2025-01-06

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Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

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Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

JMIR mental health

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