Abstract
This cohort study develops and validates a deep learning algorithm using longitudinal electronic health records to predict mortality risk as a proxy indicator for identifying patients with dementia who may benefit from palliative care.
- Title
- Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions; Development of a Deep Learning Algorithm for Mortality Prediction in Dementia
- Creators
- Liqin Wang - Harvard Medical School, Boston, MassachusettsLong Sha - Michtom School of Computer Science, Brandeis University, Waltham, MassachusettsJoshua R Lakin - Harvard Medical School, Boston, MassachusettsJulie Bynum - Division of Geriatrics and Palliative Care, Department of Medicine, University of Michigan School of Medicine, Ann ArborDavid W Bates - Harvard Medical School, Boston, MassachusettsPengyu Hong - Michtom School of Computer Science, Brandeis University, Waltham, MassachusettsLi Zhou - Harvard Medical School, Boston, Massachusetts
- Publication Details
- JAMA network open, Vol.2(7), pp.e196972-e196972
- Publisher
- American Medical Association
- Identifiers
- 9923958288901921
- Academic Unit
- Michtom School of Computer Science; Benjamin and Mae Volen National Center for Complex Systems
- Language
- English
- Resource Type
- Journal article