Prediction for cardiovascular diseases based on laboratory data: An analysis of random forest model

Author:

Su Xi12,Xu Yongyong1,Tan Zhijun1,Wang Xia1,Yang Peng1,Su Yani3,Jiang Yangyang2,Qin Sijia4,Shang Lei1ORCID

Affiliation:

1. Department of Health Statistics Fourth Military Medical University Xi’an China

2. School of Health Management Xi’an Medical University Xi’an China

3. Data Center Shaanxi Provincial People’s Hospital Xi’an China

4. School of Stomatology Xi’an Medical University Xi’an China

Funder

Special Scientific Research Program of Department of Education of Shaanxi Province

Publisher

Wiley

Subject

Microbiology (medical),Biochemistry (medical),Medical Laboratory Technology,Clinical Biochemistry,Public Health, Environmental and Occupational Health,Hematology,Immunology and Allergy

Reference49 articles.

1. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

2. Profile and evolution of the Global Burden of Morbidity in the Maghreb (Tunisia, Morocco, Algeria). The Triple burden of morbidity;Ben Abdelaziz A;Tunis Med,2018

3. The Joint Task Force for Guideline on the assessment and management of cardiovascular risk in China. Guideline on the assessment and management of cardiovascular risk in China;Chin Circulat J,2019

4. Prevention of cardiovascular disease

5. General Cardiovascular Risk Profile for Use in Primary Care

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