Machine learning based decision support systems (DSS) for heart disease diagnosis: a review
Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …
healthcare sector, the industry faces a need to combine medical knowledge, often …
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Z Arabasadi, R Alizadehsani, M Roshanzamir… - Computer methods and …, 2017 - Elsevier
Cardiovascular disease is one of the most rampant causes of death around the world and
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …
MLP-PSO hybrid algorithm for heart disease prediction
A Al Bataineh, S Manacek - Journal of Personalized Medicine, 2022 - mdpi.com
Background: Machine Learning (ML) is becoming increasingly popular in healthcare,
particularly for improving the timing and accuracy of diagnosis. ML can provide disease …
particularly for improving the timing and accuracy of diagnosis. ML can provide disease …
[Retracted] An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes
SI Ansarullah, S Mohsin Saif… - Journal of healthcare …, 2022 - Wiley Online Library
Heart disease is a severe disorder, which inflicts an adverse burden on all societies and
leads to prolonged suffering and disability. We developed a risk evaluation model based on …
leads to prolonged suffering and disability. We developed a risk evaluation model based on …
An optimized feature selection based on genetic approach and support vector machine for heart disease
CB Gokulnath, SP Shantharajah - Cluster Computing, 2019 - Springer
Heart disease diagnosis is found to be a challenging issue which can offer a computerized
estimate about the level of heart disease so that supplementary action can be made easy …
estimate about the level of heart disease so that supplementary action can be made easy …
A data mining approach for diagnosis of coronary artery disease
R Alizadehsani, J Habibi, MJ Hosseini… - Computer methods and …, 2013 - Elsevier
Cardiovascular diseases are very common and are one of the main reasons of death. Being
among the major types of these diseases, correct and in-time diagnosis of coronary artery …
among the major types of these diseases, correct and in-time diagnosis of coronary artery …
Unbalanced breast cancer data classification using novel fitness functions in genetic programming
D Devarriya, C Gulati, V Mansharamani… - Expert Systems with …, 2020 - Elsevier
Breast Cancer is a common disease and to prevent it, the disease must be identified at
earlier stages. Available breast cancer datasets are unbalanced in nature, ie there are more …
earlier stages. Available breast cancer datasets are unbalanced in nature, ie there are more …
Coronary artery disease detection using computational intelligence methods
R Alizadehsani, MH Zangooei, MJ Hosseini… - Knowledge-Based …, 2016 - Elsevier
Nowadays, cardiovascular diseases are very common and are one of the main causes of
death worldwide. One major type of such diseases is the coronary artery disease (CAD). The …
death worldwide. One major type of such diseases is the coronary artery disease (CAD). The …
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 …
mining teqniques can predict the likelihood of patients getting a heart disease. The purpose …