Machine learning in coronary heart disease prediction: Structural equation modelling approach

Author:

Rodrigues Lewlyn L. R.1ORCID,Shetty Dasharathraj K1,Naik Nithesh2ORCID,Maddodi Chetana Balakrishna3,Rao Anuradha4,Shetty Ajith Kumar5,Bhat Rama6,Hameed B. M. Zeeshan7

Affiliation:

1. Department of Humanities Management Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 571104, India

2. Department of Mechanical & Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 571104, India

3. Manipal Institute of Management, Manipal Academy of Higher Education, Manipal, 571104, India

4. Department of Information & Communication Technology, Manipal Academy of Higher Education, Manipal, 571104, India

5. Department of Anaesthesia & Critical Care, Sahyadri Narayana, Multispecialty Hospital, Shivamogga, 576108, India

6. Department of Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India

7. Department of Urology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India

Funder

research

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. “An Detection of Cardiovascular Disease using Deep Learning”;2023 International Conference on Emerging Smart Computing and Informatics (ESCI);2023-03-01

2. Cardio-metabolic risk modeling and assessment through sensor-based measurements;International Journal of Medical Informatics;2022-09

3. A likelihood swarm whale optimization based LeNet classifier approach for the prediction and diagnosis of patients with atherosclerosis disease;Computer Methods in Biomechanics and Biomedical Engineering;2022-09-01

4. Integrated Deep Learning Model for Heart Disease Prediction Using Variant Medical Data Sets;International Journal of Online and Biomedical Engineering (iJOE);2022-07-11

5. Majority voting ensembled feature selection and customized deep neural network for the enhanced clinical decision support system;International Journal of Computers and Applications;2022-05-11

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