PrecisionCardio: A Comprehensive Machine Learning Approach for Accurate Prediction of Heart Failure Trajectory-Reference-Cited by-同舟云学术

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PrecisionCardio: A Comprehensive Machine Learning Approach for Accurate Prediction of Heart Failure Trajectory

Published:2024-06-24 Issue: Volume:68 Page:1-4
ISSN:
Container-title:2024 IEEE 30th International Conference on Telecommunications (ICT)
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Author:

Hossain Muhammad Anwar¹,Bin Shawkat Siam²,Sharif Kazi Shaharair³,Hossain Md Ikbal⁴,Asmani Herick⁵,Rahman Md Minhazur⁶

Affiliation:

1. Ministry of Posts, Telecommunications and Information Technology,ICT Division,Dhaka,Bangladesh

2. American International University-Bangladesh,Department of Computer Science,Dhaka,Bangladesh

3. Oklahama State University,Dept. of Computer Science,Stillwater,OK,USA

4. University of South Dakota,Dept. of Computer Science,Vermilion,SD,USA

5. Illinois Institute of Technology Chicago,Dept. of Computer Science,Chicago,IL,USA

6. University of South Dakota,Dept. of Computer Scienc,Vermilion,SD,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606101/10606018/10606019.pdf?arnumber=10606019

Reference18 articles.

1. Multiple disease prediction using Machine learning algorithms

2. Survival of patients with chronic heart failure in the community: a systematic review and meta‐analysis

3. 2016 ACC/AHA/HFSA Focused Update on New Pharmacological Therapy for Heart Failure: An Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure

4. Heart Disease Prediction System using Data Mining Techniques and Intelligent Fuzzy Approach: A Review

5. A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

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