Forecasting Disclosure of Cardiovascular Disease using Machine Learning
Author:
Affiliation:
1. MM Engineering College Maharishi Markandeshwar (Deemed to be University),Department of Computer Science & Engineering,Mullana-Ambala,Haryana,133207
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10010702/10010572/10010986.pdf?arnumber=10010986
Reference20 articles.
1. Quickly Convert Photoplethysmography to Electrocardiogram Signals by a Banded Kernel Ensemble Learning Method for Heart Diseases Detection
2. A New Automatic Identification Method of Heart Failure Using Improved Support Vector Machine Based on Duality Optimization Technique
3. A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS
4. An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods
5. Pre-detection of the Probable Occurrence of a Cardiovascular Disease Through Data Analysis using Fuzzy Logic;reñosa;2020 IEEE 12th International Conference on Humanoid Nano-technology Information Technology Communication and Control Environment and Management (HNICEM),0
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