ANALYZING and COMPARING Random Forest and K-Nearest Neighbours for Effective Heart Disease Prediction-Reference-Cited by-同舟云学术

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ANALYZING and COMPARING Random Forest and K-Nearest Neighbours for Effective Heart Disease Prediction

Published:2024-06-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
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Author:

Maity Soumyadeep¹,Hossain Md Abid¹,Maji Kalyan²,Mishra Sudip²,Nath Soumen³,Gupta Subir⁴

Affiliation:

1. Apex Institute of Technology, Chandigarh University,Dept. of CSE,Mohali,Punjab,India

2. Haldia Institute of Technology,Dept. of C.S.E.(Data Science),Haldia,W.B,India

3. Swami Vivekananda University,School of Management,Kolkata,West Bengal,India,700121

4. Haldia Institute of Technology,Dept. of C.S.E.(A.I & M.L),Haldia,W.B,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10627129.pdf?arnumber=10627129

Reference16 articles.

1. Does data cleaning improve heart disease prediction?

2. Evaluating efficiency and equity of prevention and control strategies for rheumatic fever and rheumatic heart disease in India: an extended cost-effectiveness analysis

3. Co-determination and participation in project management. Experiences from the construction of a hospital building in Norway

4. Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests

5. Analyzing the impact of machine learning and artificial intelligence and its effect on management of lung cancer detection in covid-19 pandemic

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