Use of Machine Leaning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients-Reference-Cited by-同舟云学术

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Use of Machine Leaning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients

Published:2017-04-18 Issue:4 Volume:19 Page:e120
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:J Med Internet Res

Author:

Park Eunjeong^ORCID,Chang Hyuk-Jae^ORCID,Nam Hyo Suk^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference44 articles.

1. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

2. Characterization of Incident Stroke Signs and Symptoms

3. Pronator Drift

4. Tests of Motor Function in Patients Suspected of Having Mild Unilateral Cerebral Lesions

5. Thrombolysis with Alteplase 3 to 4.5 Hours after Acute Ischemic Stroke

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