Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.

Journal: The Lancet. Digital health

Published Date: Mar 26, 2020

Abstract

BACKGROUND: Many individuals who will experience a first episode of psychosis (FEP) are not detected before occurrence, limiting the effect of preventive interventions. The combination of machine-learning methods and electronic health records (EHRs) could help address this gap.

Authors

Lars Lau Raket

Lundbeck, Valby, Denmark; Clinical Memory Research Unit, Lund University, Lund, Sweden. Electronic address: llra@lundbeck.com.
Jörn Jaskolowski

IBM Danmark, Brøndby, Denmark.
Bruce J Kinon

Lundbeck US, Deerfield, IL, USA.
Jens Christian Brasen

Lundbeck, Valby, Denmark.
Linus Jönsson

Lundbeck, Valby, Denmark; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Allan Wehnert

Lundbeck, Valby, Denmark.
Paolo Fusar-Poli

Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Keywords

Adult Area Under Curve Case-Control Studies Cohort Studies Data Analysis Data Management Databases, Factual Datasets as Topic Delivery of Health Care Electronic Health Records Female Humans Machine Learning Male Middle Aged Models, Biological Neural Networks, Computer Prognosis Psychotic Disorders Retrospective Studies Risk Assessment ROC Curve Schizophrenia

External Resources

View on PubMed Access via DOI PubMed (33328055)

Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.

Abstract

Authors

Keywords

External Resources

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