Human heart health prediction using GAIT parameters and machine learning model-Reference-Cited by-同舟云学术

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Human heart health prediction using GAIT parameters and machine learning model

Published:2024-02 Issue: Volume:88 Page:105696
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Singh Pawan,Kourav Prabhat Singh,Mohapatra Shaurya,Kumar Vikash,Panda Subrata Kumar

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference24 articles.

1. Patient autonomy and decision making;Pathberiya;Rapid Repson. Mak. Evid. based Med. Work Individ. patients,2016

2. WHO, No Title, Top 10 Causes Death, 2020.

3. Diagnosis of heart disease using datamining algorithm;Rajkumar;Glob. J. Comput. Sci. Technol.,2010

4. An intelligent heart disease prediction system based on swarm-artificial neural network;Nandy;Neural Comput. Appl.,2021

5. The risk factors and prevention of cardiovascular disease: the importance of electrocardiogram in the diagnosis and treatment of acute coronary syndrome;Rosiek;Ther. Clin. Risk Manag.,2016

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1. GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait;Engineering Reports;2024-02-29

2. Observing temporary changes in gait using a mobile phone;E3S Web of Conferences;2024

3. Advanced Machine Learning for Risk Assessment of Cardiovascular Disease;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

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