A New Paradigm of “Real-Time” Stroke Risk Prediction and Integrated Care Management in the Digital Health Era: Innovations Using Machine Learning and Artificial Intelligence Approaches-Reference-Cited by-同舟云学术

A New Paradigm of “Real-Time” Stroke Risk Prediction and Integrated Care Management in the Digital Health Era: Innovations Using Machine Learning and Artificial Intelligence Approaches

Published:2021-05-13 Issue:01 Volume:122 Page:005-007
ISSN:0340-6245
Container-title:Thrombosis and Haemostasis
language:en
Short-container-title:Thromb Haemost

Author:

Guo Yutao¹^ORCID

Affiliation:

1. Department of Pulmonary Vessel and Thrombotic Disease, Medical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China

Publisher

Georg Thieme Verlag KG

Subject

Hematology

Link

http://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-1508-7980.pdf

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3. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study;M J O'Donnell;Lancet,2016

4. Multiple risk factors and ischaemic stroke in the elderly Asian population with and without atrial fibrillation. An analysis of 425,600 Chinese individuals without prior stroke;Y Guo;Thromb Haemost,2016

5. Probability of stroke: a risk profile from the Framingham Study;P A Wolf;Stroke,1991

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