Machine Learning-Based Detection of Cardiovascular Disease using Classification and Feature Selection-Reference-Cited by-同舟云学术

Machine Learning-Based Detection of Cardiovascular Disease using Classification and Feature Selection

Published:2023-04-08 Issue: Volume: Page:
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Container-title:2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Jain Anuj Kumar¹,Kumar Kamal²,Tiwari Raj Gaurang¹,Jain Nitin³,Gautam Vinay¹,Trivedi Naresh Kumar¹

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. National Institute of Technology, Uttarakhand,Dept. of Computer Science and Engineering,Srinagar,Uttarakhand

3. Manav Rachna International Institute of Research and Studies,Career Development Centre,Faridabad,Haryana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134573/10134574/10134672.pdf?arnumber=10134672

Reference17 articles.

1. Analysing moderators and critical factors that affect early childhood education with the usage of touchscreen contrivances: A hybrid fuzzy AHP---fuzzy TOPSIS approach;kukreja;Educ Inf Technol (Dordr ),2022

2. A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions;sakshi;Artif Intell Rev,2022

3. An Effective Gas Sensor Array Optimization Method Based on Random Forest*

4. Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

5. A Novel Approach to Remote Sensing Image Retrieval with Multi-feature VP-Tree Indexing and Online Feature Selection

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