Bass Connections Faculty Team Leader. Using Machine Learning to Generate Clinical Prediction Rules for Clinical Outcomes in Schizophrenia. 2018 - 2019
Projects & Field Work
Primary Theme: Brain & Society
The worldwide economic burden associated with caring for patients with schizophrenia has doubled in the last 10 years, from $62.7 billion in 2002 to $155.7 billion in recent years. Direct healthcare costs (inpatient care, emergency visits, medication costs and long-term care) account for 22-24% of all healthcare expenditures. Patients with schizophrenia are high utilizers of emergency department (ED) services because of relapse, which may be caused by psychoactive substance use, not taking medications as prescribed and/or lack of efficacy of interventions. These patients frequently need inpatient care, but insufficient resources lead to a situation in which patients are often kept in the ED until the crisis resolves, the substances dissipate from their system, interventions take effect or an inpatient bed becomes available.
Service Performed By
- Tenenbaum, Jessica Dale Associate Professor of Biostatistics & Bioinformatics
Role
- Bass Connections Faculty Team Leader
Date
- 2018 - 2019
Service or Event Name
- Using Machine Learning to Generate Clinical Prediction Rules for Clinical Outcomes in Schizophrenia