Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.
Jan WolffA GaryD JungC NormannK KaierH BinderK DomschkeA KlimkeM FranzPublished in: BMC medical informatics and decision making (2020)
The present study has shown that administrative routine data can be used to predict aspects relevant to the organisation of psychiatric hospital care. Future research should investigate the predictive performance that is necessary to provide effective assistance in clinical practice for the benefit of both staff and patients.
Keyphrases
- clinical practice
- machine learning
- healthcare
- end stage renal disease
- mental health
- big data
- electronic health record
- newly diagnosed
- ejection fraction
- chronic kidney disease
- palliative care
- peritoneal dialysis
- prognostic factors
- current status
- pain management
- chronic pain
- data analysis
- patient reported outcomes
- patient reported
- acute care
- health insurance