Enhancing Heart Disease Prediction with Multiple Imputation and Feature Selection in XGBoost-Reference-Cited by-同舟云学术

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Enhancing Heart Disease Prediction with Multiple Imputation and Feature Selection in XGBoost

Published:2024-05-02 Issue: Volume:101 Page:419-424
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Reddy L.Chandra Sekhar¹,Pasha Sk. Gouse²,Bandela Homer Benny³,Murthy K V S S⁴,Naidu U. Ganesh⁵,Shankar R. Shiva⁴

Affiliation:

1. CMR College of Engineering & Technology,Department of CSE,Hyderabad,India

2. MLR Institute of Technology,Department of CSE,Hyderabad,India

3. Sir C R Reddy College of Engineering,Department of CSE,Eluru,India

4. S R K R Engineering College,Department of CSE,Bhimavaram,India

5. B V Raju Institute of Technology,Department of CSBS,Medak,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551113.pdf?arnumber=10551113

Reference18 articles.

1. Statistical Analysis and Prediction of Heart Disease Using Machine Learning

2. ReliefF based feature selection and Gradient Squirrel search Algorithm enabled Deep Maxout Network for detection of heart disease

3. Heart Disease Prediction using Machine Learning Techniques

4. Effective Heart Disease Prediction Using Machine Learning Techniques

5. Heart Diseases Prediction using Machine Learning

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