A review of feature selection and classification approaches for heart disease prediction

FF Firdaus, HA Nugroho, I Soesanti - IJITEE (International Journal …, 2021 - journal.ugm.ac.id
Cardiovascular disease has been the number one illness to cause death in the world for
years. As information technology develops, many researchers have conducted studies on a …

Heart disease prediction using machine learning and deep learning algorithms

K Vayadande, R Golawar, S Khairnar… - 2022 international …, 2022 - ieeexplore.ieee.org
WHO reports states which are nearly 1 crore 20 lakhs deaths happen due to heart diseases.
In past years heart disease or cardiovascular disease cause large impact in medical …

[PDF][PDF] Machine learning based framework for maintaining privacy of healthcare data

AH Seh, JF Al-Amri, AF Subahi… - Intell. Autom. Soft …, 2021 - pdfs.semanticscholar.org
The Adoption of Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT),
cloud services, web-based software systems, and other wireless sensor devices in the …

Evaluation of Machine Learning Methods for Predicting Heart Failure Readmissions: A Comparative Analysis

S Shivadekar, K Shahapure, S Vibhute… - International Journal of …, 2024 - ijisae.org
A heart failure (HF) condition is a type of chronic cardiovascular disease that affects millions
of people globally. It can lead to various symptoms and has a significant impact on the …

[PDF][PDF] An analysis of integrating machine learning in healthcare for ensuring confidentiality of the electronic records

AH Seh, JF Al-Amri, AF Subahi, A Agrawal… - Computer Modeling in …, 2022 - academia.edu
The adoption of sustainable electronic healthcare infrastructure has revolutionized
healthcare services and ensured that E-health technology caters efficiently and promptly to …

Anxiety Prediction and Analysis-A Machine Learning Based Approach

SA Farooq, O Konda, A Kunwar… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Anxiety is considered a psychological disorder that causes stress, emotional trauma, and so
forth, which affects a person both mentally and physically. This condition causes a person to …

Classification of Student Graduation using Naï ve Bayes by Comparing between Random Oversampling and Feature Selections of Information Gain and Forward …

D Fahrudy - JOIV: International Journal on Informatics Visualization, 2022 - joiv.org
Class-imbalanced data with high attribute dimensions in datasets frequently contribute to
issues in a classification process as this can affect algorithms’ performance in the …

Effective Prediction of Cardiovascular Disease Using Deep Learning

LSP Annabel, BS Sruthi, M Rohini… - … Conference on Information …, 2023 - Springer
Today's leading cause of death worldwide is cardiovascular disease, which has risen to the
top of the list of diseases in terms of diagnostic difficulty. Cardiovascular disease is more …

A Statistical Study on Intelligent Systems for the Diagnosis of Heart Failure

J Singh, D Singh - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
ML approaches are widely utilized in the domain of health and have a major influence on
people's health worldwide. The numerous benefits of such approaches are extensively …

IoT-Enabled Fuzzy Inference System for Heart Disease Monitoring

J Singh, D Singh - Big Data Analytics in Intelligent IoT and Cyber-Physical …, 2023 - Springer
About 26 million people are impacted by heart disease worldwide, making it one of the most
prevalent epidemics. The growing cost of diagnosis is a direct result of the rising cost of …