Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset-Reference-Cited by-同舟云学术

Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset

Published:2022-09-27 Issue: Volume: Page:
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Container-title:2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Psychogyios Konstantinos¹,Ilias Loukas¹,Askounis Dimitris¹

Affiliation:

1. School of Electrical and Computer Engineering, National Technical University of Athens,Decision Support Systems Laboratory,Athens,Greece,15780

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926747/9926739/09926882.pdf?arnumber=9926882

Reference20 articles.

1. Heart Attack Prediction System Using Fuzzy C Means Classifier

2. Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements

3. Machine learning-based classification algorithms for the prediction of coronary heart diseases;kwakye;ArXiv Preprint,2021

4. Rb-bayes algorithm for the prediction of diabetic in “pima indian dataset;bhalla;International Journal of Electrical and Computer Engineering (IJECE),2019

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