Prediction of atherosclerosis using machine learning based on operations research
Background: Atherosclerosis is one of the major reasons for cardiovascular disease including coronary heart disease, cerebral infarction and peripheral vascular disease. Atherosclerosis has no obvious symptoms in its early stages, so the key to the treatment of atherosclerosis is early intervention...
Main Authors: | Zihan Chen, Minhui Yang, Yuhang Wen, Songyan Jiang, Wenjun Liu, Hui Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-03-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022229?viewType=HTML |
Similar Items
-
An improved selective ensemble learning approach in enabling load classification considering base classifier redundancy and class imbalance
by: Shiqian Wang, et al.
Published: (2022-09-01) -
A brain stroke detection model using soft voting based ensemble machine learning classifier
by: A. Srinivas, et al.
Published: (2023-10-01) -
Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers
by: Sayed Mehedi Azim, et al.
Published: (2023-01-01) -
Decision Tree Integration Using Dynamic Regions of Competence
by: Jędrzej Biedrzycki, et al.
Published: (2020-10-01) -
Why are street foods consumed? A machine learning ensemble approach to assess consumption intention of street foods
by: Eric R. Tacardon, et al.
Published: (2023-12-01)