High-Risk Phenotypes of Early Psychiatric Readmission in Bipolar Disorder With Comorbid Medical Illness

High-Risk Phenotypes of Early Psychiatric Readmission in Bipolar Disorder With Comorbid Medical Illness

Background: Individuals with co-existing serious mental illness and non-psychiatric medical illness are at high risk of acute care utilization. Mining of electronic health record data can help identify and categorize predictors of psychiatric hospital readmission in this population. Objective: This...

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Bibliographic Details
Main Authors: Brooks, J.O., III (Author), Edgcomb, J. (Author), Hellemann, G. (Author), Shaddox, T. (Author)
Format: Article
Language:English
Published: Elsevier Inc. 2019
Subjects:
adolescent
Adolescent
adult
Adult
aged
Aged
algorithm
Algorithms
anxiety disorder
Article
bipolar disorder
Bipolar Disorder
cohort analysis
comorbidity
Comorbidity
complication
decision tree
Decision Trees
dementia
depression
drug dependence
electronic health record
female
Female
health care utilization
high risk patient
hospital readmission
human
Humans
ICD-10
length of stay
machine learning
Machine Learning
major clinical study
male
Male
medical illness
mental health service
mental hospital
middle aged
Middle Aged
Models, Statistical
Patient Readmission
personality disorder
phenotype
Phenotype
readmission
Retrospective Studies
retrospective study
risk factor
Risk Factors
schizophrenia
statistical model
treatment outcome
vulnerable population
young adult
Young Adult
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