A model for predicting myocardial infarction using data mining techniques

R Safdari, MG Saeedi, G Arji, M Gharooni… - Frontiers in Health …, 2013 - ijmi.ir
Abstract—cardiovascular diseases are among the most common diseases in all societies.
The most important step in minimizing myocardial infarction and its complications is to …

[HTML][HTML] Myocardial infarction prediction and estimating the importance of its risk factors using prediction models

F Rahimi, M Nasiri, R Safdari, G Arji… - … Journal of Preventive …, 2022 - ncbi.nlm.nih.gov
Background: According to World Health Organization (WHO), cardiovascular diseases
(CVDs) are the leading cause of death globally. Although significant progress has been …

Comparative analysis for heart disease prediction

SN Khan, NM Nawi, A Shahzad, A Ullah… - … : International Journal on …, 2017 - joiv.org
Today, heart diseases have become one of the leading causes of deaths in nationwide. The
best prevention for this disease is to have an early system that can predict the early …

[PDF][PDF] Prediction of heart disease using data mining techniques: A Case study

SH Shadid, A Shafkat, MF Yasmeen… - Prediction of heart …, 2019 - researchgate.net
Data mining is the process of rearranging through large datasets to identify patterns and
establish relationships between them to solve problems through data analysis. Data mining …

[PDF][PDF] A Review on Data Mining Techniques for Heart Disease Prediction

TO Aro, BJ Muhammed… - … Informatica, XV (1), 2017 - anale-informatica.tibiscus.ro
Data mining is an important stage in knowledge discovery in database (KDD) of clinical data
due to its ability to extract concealed (hidden) patterns from huge amount of datasets to …

Comparing performance of data mining algorithms in prediction heart diseases

M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji - 2015 - dro.deakin.edu.au
Heart diseases are among the nation's leading couse of mortality and moribidity. Data
mining teqniques can predict the likelihood of patients getting a heart disease. The purpose …

Using combined descriptive and predictive methods of data mining for coronary artery disease prediction: a case study approach

M Shamsollahi, A Badiee… - Journal of AI and Data …, 2019 - jad.shahroodut.ac.ir
Heart disease is one of the major causes of morbidity in the world. Currently, large
proportions of healthcare data are not processed properly, thus, failing to be effectively used …

[PDF][PDF] A model for coronary heart disease prediction using data mining classification techniques

DO Makumba, W Cheruiyot, K Ogada - Asian J. Res. Comput. Sci, 2019 - researchgate.net
Nowadays the guts malady is one amongst the foremost causes of death within the world.
Thus it s early prediction and diagnosing is vital in medical field, which might facilitate in on …

Diagnostic Prediction Models for Cardiovascular Disease Risk using Data Mining Techniques

N Nai-arun, R Moungmai - ECTI Transactions on Computer and …, 2020 - ph01.tci-thaijo.org
Cardiovascular disease is the top national health problem that leads to a big number of
deaths in Thailand. There is still a growing number of patients with the disease. Proactive …

[引用][C] A data mining model for predicting the coronary heart disease using random forest classifier

AS Abdullah, R Rajalaxmi - International conference in recent trends in …, 2012