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Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data

Enregistré dans:
Publié dans:Psychological Medicine vol. 54, no. 15 (Nov 2024), p. 4348
Auteur principal: Perfalk, Erik
Autres auteurs: Jakob Grøhn Damgaard, Bernstorff, Martin, Hansen, Lasse, Danielsen, Andreas Aalkjær, Søren Dinesen Østergaard
Publié:
Cambridge University Press
Sujets:
World Health Organization
Denmark
Voluntariness
Datasets
Clinical medicine
Patients
Coercion
Risk factors
Machine learning
Electronic medical records
Prediction models
Learning algorithms
Risk assessment
Electronic health records
Drugs
Psychiatric hospitals
Clinical decision making
Mental disorders
Hospitals
Psychosis
Computerized medical records
Patient admissions
Psychiatric services
Health records
Hospitalization
Inpatient care
Decision support systems
Medical records
Mental health services
Medical decision making
Data
Residential institutions
Accès en ligne:Citation/Abstract
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