Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review

Author:

Bhavekar Girish Shrikrushnarao,Das Goswami Agam,Vasantrao Chafle Pratiksha,Gaikwad Amit K.,Zade Amol V.,Vyawahare Harsha

Publisher

Springer Science and Business Media LLC

Reference104 articles.

1. Folorunso SO, Awotunde JB, Adeniyi EA, Abiodun KM, Ayo FE (2022) Heart disease classification using machine learning models. Info Intell Appl 1547:35–49

2. Phasinam K, Mondal T, Novaliendry D, Yang C-H, Dutta C, Shabaz M (2022) Analyzing the performance of machine learning techniques in disease prediction. J Food Qual 2022:1–9

3. TR Ramesh, Lilhore UK, Poongodi M, Simaiya S, Kaur A, Hamdi M (2022) Predictive analysis of heart diseases with machine learning approaches. Malays J Comput Sci 132–148. https://doi.org/10.22452/mjcs.sp2022no1.10

4. Mahesh TR, Dhilip Kumar V, Vinoth Kumar V, Asghar J, Geman O, Arulkumaran G, Arun N (2022) ADABOOST ensemble methods using K-fold cross validation for survivability with the early detection of heart disease. Comput Intell Neurosci 2022:1–11

5. Yang H-Y, Liu M-L, Luo P, Yao X-S, Zhou H (2022) Network pharmacology provides a systematic approach to understanding the treatment of ischemic heart diseases with traditional Chinese medicine. Phytomed 104:154268

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