Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study-Reference-Cited by-同舟云学术

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Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study

Published:2023 Issue: Volume:8 Page:100118
ISSN:2666-5212
Container-title:Intelligence-Based Medicine
language:en
Short-container-title:Intelligence-Based Medicine

Author:

Zulbayar Suvd,Mollayeva Tatyana^ORCID,Colantonio Angela,Chan Vincy,Escobar Michael^ORCID

Funder

Institute for Clinical Evaluative Sciences

Government of Ontario

National Institutes of Health

Canadian Institutes of Health Research

Ontario Ministry of Health and Long-Term Care

Canada Research Chairs

National Institute of Neurological Disorders and Stroke

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Health Informatics,Medicine (miscellaneous)

Reference88 articles.

1. Traumatic brain injury: a global challenge;Johnson;Lancet Neurol,2017

2. Release notice - injury in review, 2020 edition: spotlight on traumatic brain injuries across the life course;Health Promot Chronic Dis Prev Can,2020

3. Long-term consequences of traumatic brain injury: current status of potential mechanisms of injury and neurological outcomes;Bramlett;J Neurotrauma,2015

4. Traumatic brain injury: a disease process, not an event;Masel;J Neurotrauma,2010

5. Data mining to understand health status preceding traumatic brain injury;Mollayeva;Sci Rep,2019

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