An empirical study to predict myocardial infarction using k-means and hierarchical clustering

MM Islam, SAA Nipun, M Islam, MAR Rahat… - … , Network Security and …, 2020 - Springer
The target of this research is to predict Myocardial Infarction using unsupervised Machine
Learning algorithms. Myocardial Infarction Prediction related to heart disease is a …

Heart disease prediction using modified machine learning algorithm

B Kaur, G Kaur - International Conference on Innovative Computing and …, 2022 - Springer
Heart patient number is escalating day by day, and numerous individuals lost their precious
lives each year due to sudden heart attack in all over the world. Because of this, before time …

Data analysis on myocardial infarction with the help of machine learning algorithms considering distinctive or non-distinctive features

S Kayyum, J Miah, A Shadaab… - 2020 International …, 2020 - ieeexplore.ieee.org
The target of this research is to analyze the accuracy level for predicting Myocardial
Infarction with the help of Machine Learning Algorithms. The rate of heart attacks in …

Implementation of Machine Learning Approach for Detecting Cardiovascular Diseases

SKH Kauser, D Gowda, RC Tanguturi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The rapidly expanding discipline of data analysis has an important role to play in the
medical industry. Using this knowledge, we can uncover previously concealed details that …

[PDF][PDF] Prediction of heart disease using k-means and artificial neural network as hybrid approach to improve accuracy

A Malav, K Kadam, P Kamat - International Journal of Engineering …, 2017 - academia.edu
The heart is important organ of human body part. Life is completely dependent on efficient
working of the heart. What if a heart undergoes a disorder, cardiovascular diseases are the …

[PDF][PDF] Heart disease prediction using machine learning

BU Rindhe, N Ahire, R Patil, S Gagare, M Darade - Heart Disease, 2021 - academia.edu
Heart-related diseases or Cardiovascular Diseases (CVDs) are the main reason for a huge
number of death in the world over the last few decades and has emerged as the most life …

[PDF][PDF] Heart attack prediction system using fuzzy C means classifier

R Chitra, V Seenivasagam - IOSR Journal of Computer Engineering, 2013 - academia.edu
Cardiovascular disease remains the biggest cause of deaths worldwide. The percentage of
premature death from this disease ranges from 4% in high income countries and 42% in low …

[PDF][PDF] A comparative study of machine learning algorithms for the prediction of heart disease

H Arghandabi, P Shams - … Journal for Research in Applied Science …, 2020 - academia.edu
The heart is a significant organ of the human body. These days heart disease has become
an important issue in humans, nearly one person dies per minute. To deal with this problem …

[PDF][PDF] Cardiovascular disease prediction using classification algorithms of machine learning

YJ Chauhan - International Journal of Science and Research, 2020 - academia.edu
Cardiovascular disease is a major health burden worldwide in the 21st century. Human
services consumptions are overpowering national and corporate spending plans because of …

[PDF][PDF] Performance analysis of various machine learning techniques to predict cardiovascular disease: An emprical study

M Chandralekha, N Shenbagavadivu - Appl. Math. Inf. Sci, 2018 - naturalspublishing.com
In the modern state-of-art of technology, Machine Learning emerges out as a boom to extract
information from mammoth dataset and transform into acquainted information. In particular …