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

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

This research is an application of machine learning in medical sciences. The purpose of this research was to use machine learning through the simulated data to study the association of age, body mass index, cigarettes smoked per day, alcohol consumed per week, diastolic blood pressure, and systolic...

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Bibliographic Details
Main Authors: Lewlyn L. R. Rodrigues, Dasharathraj K Shetty, Nithesh Naik, Chetana Balakrishna Maddodi, Anuradha Rao, Ajith Kumar Shetty, Rama Bhat, B. M. Zeeshan Hameed
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Engineering
Subjects:
coronary heart disease
hypertension
data-driven models
partial least square method
predictive models
health management
Online Access:http://dx.doi.org/10.1080/23311916.2020.1723198

Internet

http://dx.doi.org/10.1080/23311916.2020.1723198

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