# Predicting Premature Treatment Termination in Inpatient Psychotherapy: A Machine Learning Approach

> **NCT06042595** · — · COMPLETED · sponsor: **University Hospital Heidelberg** · enrollment: 2023 (actual)

## Conditions studied

- Premature Treatment Termination
- Dropout Prediction
- Inpatient Psychotherapy
- Machine Learning

## Interventions

- **BEHAVIORAL:** Psychotherapy

## Key facts

- **NCT ID:** NCT06042595
- **Lead sponsor:** University Hospital Heidelberg
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2015-01
- **Primary completion:** 2022-01
- **Final completion:** 2022-01
- **Target enrollment:** 2023 (ACTUAL)
- **Last updated:** 2023-09-18


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06042595

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06042595, "Predicting Premature Treatment Termination in Inpatient Psychotherapy: A Machine Learning Approach". Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/clinical/NCT06042595. Licensed CC0.

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