AIMC Topic: Patient Dropouts

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Predictors of treatment attrition among individuals in substance use disorder treatment: A machine learning approach.

Addictive behaviors Jan 25, 2025
BACKGROUND: Early treatment discontinuation in substance use disorder treatment settings is common and often difficult to predict. We leveraged a machine learning approach (i.e., random forest) to identify individuals at risk for treatment attrition,...
Substance Abuse Treatment Centers Adult Male Middle Aged United States Substance-Related Disorders Patient Dropouts Machine Learning Female Young Adult Humans
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Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

JMIR mental health Dec 20, 2024
BACKGROUND: Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can...
Young Adult Adult Male Machine Learning Female Thinking Cognitive Behavioral Therapy Internet-Based Intervention Middle Aged Anxiety Internet Humans Patient Dropouts
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Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.

BMJ open Nov 14, 2024
INTRODUCTION: Despite the availability of a safe and effective measles vaccine in Ethiopia, the country has experienced recurrent and significant measles outbreaks, with a nearly fivefold increase in confirmed cases from 2021 to 2023. The WHO has ide...
Ethiopia Measles Patient Dropouts Measles Vaccine Adolescent Vaccination Logistic Models Male Infant Humans Machine Learning Algorithms Female Young Adult Adult
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Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.

Nutrients Aug 8, 2024
According to the main international guidelines, patients with obesity and psychiatric/psychological disorders who cannot be addressed to surgery are recommended to follow a nutritional approach and a psychological treatment. A total of 94 patients (T...
Adult Male Middle Aged Surveys and Questionnaires Overweight Bariatric Surgery Obesity Patient Dropouts Humans Italy Psychotherapy, Psychodynamic Machine Learning Female
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Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN).

Behaviour research and therapy Jul 8, 2019
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical practice will be described - the Trier Treatment Navigator (TTN). The paper deals with the underlying research concepts related to personalized pre-tr...
Patient Dropouts Personality Disorders Anxiety Disorders Female Surveys and Questionnaires Problem Solving Aged Adolescent Mental Disorders Cognitive Behavioral Therapy Humans Young Adult Adjustment Disorders Male Machine Learning Adult Precision Medicine Stress Disorders, Post-Traumatic Middle Aged Feedback Clinical Decision-Making Decision Support Systems, Clinical Mood Disorders
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Beyond total scores: Enhancing psychotherapy outcome prediction with item-level scores.

Journal of consulting and clinical psychology Jul 1, 2025
OBJECTIVE: This study aims at improving dropout and treatment nonresponse prevention by optimizing the performance of models for their prediction through the integration of item-level data.
Machine Learning Mental Disorders Female Humans Psychotherapy Adult Outcome Assessment, Health Care Male Patient Dropouts Middle Aged
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