[HTML][HTML] An efficient predictive model for myocardial infarction using cost-sensitive j48 model

A Daraei, H Hamidi - Iranian journal of public health, 2017 - ncbi.nlm.nih.gov
Background: Myocardial infarction (MI) occurs due to heart muscle death that costs like
human life, which is higher than the treatment costs. This study aimed to present an MI …

Analysis of pre-processing and post-processing methods and using data mining to diagnose heart diseases

H Hamidi, A Daraee - International Journal of Engineering, 2016 - ije.ir
Today, a great deal of data is generated in the medical field. Acquiring useful knowledge
from this raw data requires data processing and detection of meaningful patterns and this …

Evolutionary and neural computing based decision support system for disease diagnosis from clinical data sets in medical practice

M Sudha - Journal of medical systems, 2017 - Springer
As a recent trend, various computational intelligence and machine learning approaches
have been used for mining inferences hidden in the large clinical databases to assist the …

Efficient hybrid algorithm based on genetic with weighted fuzzy rule for developing a decision support system in prediction of heart diseases

AZ Hameed, B Ramasamy, MA Shahzad… - The Journal of …, 2021 - Springer
In this article, the clinical decision support system is discussed under the weighted fuzzy rule
approach and genetic algorithm for computer-aided heart disease determination. The …

Enhancing decision tree classification accuracy through genetically programmed attributes for wart treatment method identification

S Khatri, D Arora, A Kumar - Procedia computer science, 2018 - Elsevier
Origin: Warts are produced and developed on the human body due to infection induced by
Human Papillomavirus. The most influenced zone of warts are hands and feet particularly …

[HTML][HTML] Detecting diseases in medical prescriptions using data mining methods

S Nazari Nezhad, MH Zahedi, E Farahani - BioData Mining, 2022 - Springer
Every year, the health of millions of people around the world is compromised by
misdiagnosis, which sometimes could even lead to death. In addition, it entails huge …

[PDF][PDF] A new hybrid method for improving the performance of myocardial infarction prediction

H Hamidi, A Daraie - Journal of Community Health Research, 2016 - jhr.ssu.ac.ir
Abstract Introduction: Myocardial Infarction, also known as heart attack, normally occurs due
to such causes as smoking, family history, diabetes, and so on. It is recognized as one of the …

Komparasi Metode Decision Tree, Naive Bayes Dan K-Nearest Neighbor Pada Klasifikasi Kinerja Siswa

T Setiyorini, RT Asmono - Jurnal Techno Nusa Mandiri, 2018 - ejournal.nusamandiri.ac.id
KOMPARASI METODE DECISION TREE, NAIVE BAYES DAN K-NEAREST NEIGHBOR PADA
KLASIFIKASI KINERJA SISWA Page 1 Jurnal TECHNO Nusa Mandiri Vol. 15, No. 2 …

Enhanced decision tree algorithm using genetic algorithm for heart disease prediction

S Kumar, G Sahoo - International Journal of Bioinformatics …, 2018 - inderscienceonline.com
In today's present scenario, heart disease has greater impact on our lives and identified fatal
due to its high mortality rate. The diagnosis of heart disease is more challenging due to its …

Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering

F Saadi, B Atmani, F Henni - 2023 - reunir.unir.net
Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to
use. Its application has allowed significant progress in resolving problems related to the …