[PDF][PDF] A heart disease prediction model using SVM-decision trees-logistic regression (SDL)

T Mythili, D Mukherji, N Padalia… - International Journal of …, 2013 - researchgate.net
The early prognosis of cardiovascular diseases can aid in making decisions to lifestyle
changes in high risk patients and in turn reduce their complications. Research has …

Patient-centric HetNets powered by machine learning and big data analytics for 6G networks

MS Hadi, AQ Lawey, TEH El-Gorashi… - IEEE …, 2020 - ieeexplore.ieee.org
Having a cognitive and self-optimizing network that proactively adapts not only to channel
conditions, but also according to its users' needs can be one of the highest forthcoming …

Analytical study of heart disease diagnosis using classification techniques

C Sowmiya, P Sumitra - 2017 IEEE international conference on …, 2017 - ieeexplore.ieee.org
Heart disease is the number one problem for world. Heart disease more than people deaths
occur during the first heart attack. But not only for heart attack have some problems attacked …

Identification of cardiovascular diseases using machine learning

N Louridi, M Amar, B El Ouahidi - 2019 7th mediterranean …, 2019 - ieeexplore.ieee.org
Taking care of the health of people is one of the challenging tasks in the world.
Cardiovascular disease is one of the main factors that increase mortality. In order to detect …

Patient-centric cellular networks optimization using big data analytics

MS Hadi, AQ Lawey, TEH El-Gorashi… - Ieee …, 2019 - ieeexplore.ieee.org
Big data analytics is one of the state-of-the-art tools to optimize networks and transform them
from merely being a blind tube that conveys data, into a cognitive, conscious, and self …

MobDBTest: A machine learning based system for predicting diabetes risk using mobile devices

K Sowjanya, A Singhal… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Diabetes mellitus (DM) is reaching possibly epidemic proportions in India. The degree of
disease and destruction due to diabetes and its potential complications are enormous, and …

Intelligence system for diagnosis level of coronary heart disease with K-star algorithm

W Wiharto, H Kusnanto… - Healthcare informatics …, 2016 - synapse.koreamed.org
Objectives Coronary heart disease is the leading cause of death worldwide, and it is
important to diagnose the level of the disease. Intelligence systems for diagnosis proved can …

Comparative analysis of accuracy on heart disease prediction using classification methods

R Dbritto, A Srinivasaraghavan, V Joseph - International Journal of Applied …, 2016 - ijais.org
A common term heart disease is nothing but a cardiovascular disease or a Coronary heart
disease which reduces the efficiency and proper functioning of heart by blocking veins …

[PDF][PDF] Prediction of cardiovascular diseases using support vector machine and Bayesian classification

P Kanikar, DR Shah - International Journal of Computer …, 2016 - researchgate.net
Cardiovascular disease is a broad team for a range of diseases affecting heart and blood
vessels. Cardiovascular disease are the number one cause of death globally. The health …

[PDF][PDF] An efficient data mining and ant colony optimization technique (DMACO) for heart disease prediction

A Dubey, R Patel, K Choure - International Journal of Advanced …, 2014 - Citeseer
India is set to witness a spike in deaths due to heart diseases. Early stage detection may
prevent the death due to the heart diseases. In this paper we provide an efficient approach …