A robust deep learning based prediction system of heart disease using a combination of five datasets

R Biswas, AR Beeravolu, A Karim… - … on computer theory …, 2021 - ieeexplore.ieee.org
All across the world, heart disease is regarded as a fatal disease. Heart disease is a
condition that affects both men and women equally and may be a major cause of death …

A survey on risk assessments of heart attack using data mining approaches

Y Solanki, S Sharma - International Journal of Information Engineering …, 2019 - hal.science
This document presents the required layout of articles to Medical data mining has become
one of the prominent issues in the field of data mining due to the delicate lifestyle opted by …

An evaluation of artificial neural networks and random forests for heart disease prediction

WAWA Bakar, NLNB Josdi, MB Man… - Journal of Hunan …, 2022 - jonuns.com
Heart diseases are serious problem in many countries worldwide. In Malaysia, it has been a
major killer since 1980. Many health conditions are closely related to heart disease …

An intelligent framework for heart disease prediction deep learning-based ensemble Method

V Venkatesh, P Rai, KA Reddy, S Praba… - … on Computer, Power …, 2022 - ieeexplore.ieee.org
Recently, wearable sensors used in Body Area Networks (BANs) have more competencies
for sensing the environments, data storage, processing, and information transfer. BANs …

Multi-model Ensemble Based Approach for Heart Disease Diagnosis

A Ashfaq, A Imran, I Ullah, A Alzahrani… - … on Recent Advances …, 2022 - ieeexplore.ieee.org
Heart is the core part responsible for blood pumping in the human body. Any disorder that
effectuates the functions of the cardiovascular named heart disease or cardiovascular …

[PDF][PDF] Diagnosis of cardiac problem using rough set theory and machine learning

S Das, SK Pradhan, S Mishra, S Pradhan… - Indian Journal of …, 2022 - ijcse.com
Cardiac-related problems are responsible for the sudden increase in death rate globally. A
quick and accurate diagnosis of the cardiac-related problem is essential to avoid serious …

A road map to artificial neural network

A Sharma, K Goswami, V Jindal… - Recurrent Neural …, 2022 - taylorfrancis.com
This chapter describes the basics of ANN and discusses its applicability in various fields.
Artificial neural network (ANN) is a biologically inspired learning algorithm designed to …

An optimized KDD process for collecting and processing ingested and streaming healthcare data

A Mavrogiorgou, A Kiourtis, G Manias… - … on Information and …, 2021 - ieeexplore.ieee.org
Nowadays organizations are surrounded with enormous amounts of data, losing all the
important information that resides in it. Knowledge Discovery in Databases (KDD) can aid …

Genetic factor analysis for an early diagnosis of autism through machine learning

AC Kumar, JA John, M Raja, P Vijaya - Data science for genomics, 2023 - Elsevier
Instances of autism spectrum disorder (ASD) in children are not uncommon. In fact, it is one
of the most prevalent neurologic diseases in leading nations of the world. Around 1 out of …

A systematic review on heart disease prediction using deep neural network for scalable datasets

S Suvanov, M Sabharwal… - … , Computing and Security …, 2023 - taylorfrancis.com
Deep Learning and Artificial Neural Networks (ANN) are technologies that simulate a human
brain because it consists of several neurons. The input layer, hidden layers, and output layer …