A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data

J Azmi, M Arif, MT Nafis, MA Alam, S Tanweer… - Medical engineering & …, 2022 - Elsevier
There is a considerable rise in cardiovascular diseases in the world. It is pertinently
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …

Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things

Y Kumar, A Koul, PS Sisodia, J Shafi… - Wireless …, 2021 - Wiley Online Library
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …

Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions

M Bhushan, A Pandit, A Garg - Artificial Intelligence Review, 2023 - Springer
Myocardial infarction, commonly known as heart attack, is one of the most common heart
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …

Prediction of heart diseases using random forest

M Pal, S Parija - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The process of discovering or mining information from a huge volume of data is known as
data mining technology. Today data mining has lots of application in every aspects of human …

[PDF][PDF] Prediction of heart diseases utilising support vector machine and artificial neural network

AK Faieq, MM Mijwil - Indonesian Journal of Electrical Engineering …, 2022 - academia.edu
The heart, like a pump, is an organ about the size of a fist, mainly composed of muscle and
connective tissue that functions to distribute blood to tissues. The heart is located under the …

An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population

M Mandava, SR Vinta, H Ghosh… - … on Pervasive Health …, 2023 - publications.eai.eu
INTRODUCTION: Cardiovascular disease is a major concern and pressing issue faced by
the healthcare sector globally. According to a survey conducted by the WHO every year …

[HTML][HTML] Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison

MI Hossain, MH Maruf, MAR Khan, FS Prity… - Iran Journal of Computer …, 2023 - Springer
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …

Prediction of mortality from heart failure using machine learning

S Kedia, M Bhushan - … on Emerging Frontiers in Electrical and …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) or heart failure (HF) is a vital cause of death worldwide.
Approximately 17.9 million people die each year, and it accounts for 31% of global deaths in …

[HTML][HTML] Fog-based smart cardiovascular disease prediction system powered by modified gated recurrent unit

AA Nancy, D Ravindran, DR Vincent, K Srinivasan… - Diagnostics, 2023 - mdpi.com
The ongoing fast-paced technology trend has brought forth ceaseless transformation. In this
regard, cloud computing has long proven to be the paramount deliverer of services such as …

Heart disease prediction using feature selection and ensemble learning techniques

A Lakshmanarao, A Srisaila… - 2021 Third International …, 2021 - ieeexplore.ieee.org
Cardiovascular diseases (heart-related diseases) are the reason for the deaths of 18 million
people every year in the world. According to WHO, 31% of the deaths worldwide are due to …