Logistic regression technique for prediction of cardiovascular disease-Reference-Cited by-同舟云学术

Logistic regression technique for prediction of cardiovascular disease

Published:2022-06 Issue:1 Volume:3 Page:127-130
ISSN:2666-285X
Container-title:Global Transitions Proceedings
language:en
Short-container-title:Global Transitions Proceedings

Author:

G Ambrish,Ganesh Bharathi,Ganesh Anitha,Srinivas Chetana,Dhanraj ,Mensinkal Kiran

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. World Health Organization and J. Dostupno, cardiovascular diseases: key facts, vol. 13, no. 2016, p. 6, 2016. [Online]. Available: https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

2. Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks;Uyar;Proced. Comput. Sci.,2017

3. Systematic analysis of applied data mining based optimization algorithms in clinical attribute extraction and classification for diagnosis of cardiac patients;Kausar,2016

4. Integrating clustering with different data mining techniques in the diagnosis of heart disease;Shouman;J. Comput. Sci. Eng.,2013

5. Identification of significant features and data mining techniques in predicting heart disease;Amin;Telemat. Inf.,2019

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