Promising Use of Automated Electronic Phenotyping-Reference-Cited by-同舟云学术

Promising Use of Automated Electronic Phenotyping

Published:2021-01 Issue:1 Volume:52 Page:190-192
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Aguiar de Sousa Diana¹²,Katan Mira³⁴

Affiliation:

1. Department of Neurosciences and Mental Health (Neurology), Hospital de Santa Maria–Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon, Portugal (D.A.d.S.).

2. Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal (D.A.d.S.).

3. Department of Neurology, University Hospital of Zurich, Switzerland (M.K.).

4. Neuroscience Center of Zurich, University of Zurich, Switzerland (M.K.).

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference12 articles.

1. Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

2. STAIR X

3. Automated electronic phenotyping of cardioembolic stroke.;Guan W;Stroke,2020

4. Towards phenotyping stroke: leveraging data from a large-scale epidemiological study to detect stroke diagnosis.;Ni Y;PLoS One,2018

5. Application of knowledge discovery process on the prediction of stroke.;Colak C;Comput Methods Programs Biomed,2015

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