Heart disease prediction using machine learning techniques: a quantitative review

L Riyaz, MA Butt, M Zaman, O Ayob - International Conference on …, 2022 - Springer
Heart diseases or the cardiovascular diseases are the main reasons for a large number of
deaths in the world today. Heart disease affects the functioning of blood vessels and can …

Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review

J Latif, C Xiao, S Tu, SU Rehman, A Imran… - IEEE Access, 2020 - ieeexplore.ieee.org
Electronic health records are used to extract patient's information instantly and remotely,
which can help to keep track of patients' due dates for checkups, immunizations, and to …

Enhanced deep learning assisted convolutional neural network for heart disease prediction on the internet of medical things platform

Y Pan, M Fu, B Cheng, X Tao, J Guo - Ieee Access, 2020 - ieeexplore.ieee.org
The diagnosis of heart disease has become a difficult medical task in the present medical
research. This diagnosis depends on the detailed and precise analysis of the patient's …

[PDF][PDF] Heart disease prediction using machine learning and data mining

K Srivastava, DK Choubey - International Journal of Recent …, 2020 - researchgate.net
Weighing only 300 grams, Heart is declining the mortality rate at a rapid pace from decades.
The major factors that contribute to it are smoking, drinking, unbalanced diet, and many …

A research review on fetal heart disease detection techniques

G Someshwaran, V Sarada - 2022 6th International …, 2022 - ieeexplore.ieee.org
The study is intended to be in accordance with recent World Health Organization (WHO)
findings on Congenital heart disorders (CHD), the most frequent heart condition and feasible …

Effective prediction on heart disease: anticipating heart disease using data mining techniques

M Rahman, MM Zahin, L Islam - 2019 International Conference …, 2019 - ieeexplore.ieee.org
A variety of infirmities that influence our heart is perceived as heart disease. It is also
recognized as a cardio-vascular disease that is associated with blocking blood vessels. This …

Integrated use of rough sets and artificial neural network for skin cancer disease classification

MZ Hasan, S Shoumik, N Zahan - … International Conference on …, 2019 - ieeexplore.ieee.org
The aim of this study is to build a classifier for predicting a disease existence by learning a
least conventional set of features extracted from the clinical dataset. Rough set …

Automated foot and mouth disease classification using transfer learning-based deep convolutional neural network

M Rony, D Barai, MZ Hasan - 2021 12th International …, 2021 - ieeexplore.ieee.org
Foot and Mouth Disease is the most highly contagious disease around the world. Early
detection of FMD is crucial for controlling this disease. Convolutional Neural Networks is the …

Exploiting Machine Learning Models for Identification of Heart Diseases

I Ullah, A Imran, A Ashfaq, M Adnan - Journal of Computing & Biomedical …, 2022 - jcbi.org
Cardiovascular illnesses have surpassed disease as the leading cause of death in
industrialized, emerging, and underprivileged countries in recent decades. The mortality rate …

A Deep Pattern Learning based Model for Detection of Cardiovascular Diseases (CVD)

B Srinivasulu, PVS Reddy… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Given that cardiovascular diseases (CVD) persist as a significant global cause of death, the
development of effective diagnostic techniques is of paramount importance. This article …