Brain Health Scores to Predict Neurological Outcomes from Electronic Health Records
Year: 2022
Type: article
Study design: Observational Study
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders: National Science Foundation, U.S. Department of Defense, James S. McDonnell Foundation, Epilepsy Foundation, Glenn Foundation for Medical Research, Harvard University, American Academy of Sleep Medicine, American Academy of Sleep Medicine Foundation, Fondation pour la Recherche Médicale, National Institutes of Health, Centers for Disease Control and Prevention, National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Center for Chronic Disease Prevention and Health Promotion
Awards: Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest Patients, G149452271, Optimizing anti-epileptic drug treatment in acute brain injury, G1564542323, G1648733136, G1866846147, G3143117550, SCH: INT: Collaborative Research: DeepSense: Interpretable Deep Learning for Zero-effort Phenotype Sensing and Its Application to Sleep Medicine, G3735866992, G4607162575, EMORY PREVENTION RESEARCH CENTER, G5310597793, G5438803250, G5656328811, Alzheimer's Disease and Related Dementia Care within the Medicare Program, G628150235, G6284616576, G6489153112, Investigation of Sleep, Treatment Strategies in Geriatric Epilepsy, Immune Activation, Cerebral Metabolic Activity and Depression in Treated HIV-Infection, G7402100992, Integrative Motor Activity Biomarker for the Risk of Alzheimer's Risk, G8694279694, Big Data and Deep Learning for the Interictal-Ictal-Injury Contiuum, Medicare at a Crossroads, Comparative Safety of Seizure Prophylaxis within the Medicare Program
OpenAlex ID: W4387910401