HealthCloud: A system for monitoring health status of heart patients using machine learning and cloud computing

F Desai, D Chowdhury, R Kaur, M Peeters, RC Arya… - Internet of Things, 2022 - Elsevier
In the context of the global health crisis of 2020, the tendency of many people to self-
diagnose at home virtually, prior to any physical interaction with medical professionals, has …

Intelligent heart disease prediction in cloud environment through ensembling

N Gupta, N Ahuja, S Malhotra, A Bala, G Kaur - Expert Systems, 2017 - Wiley Online Library
Cloud computing is the delivery of on‐demand computing resources. Cloud computing has
numerous applications in fields of education, social networking, and medicine. But the …

[PDF][PDF] Big data analytics in heart diseases prediction

A Ismail, S Abdlerazek, IM El-Henawy - Journal of Theoretical and …, 2020 - academia.edu
The healthcare data can be employed to develop a health prediction system that can
improve in heart disease prevention. Big data on health care, including patient records …

Intelligent Cloud Based Heart Disease Prediction System Empowered with Supervised Machine Learning.

MA Khan, S Abbas, A Atta, A Ditta… - Computers …, 2020 - search.ebscohost.com
The innovation in technologies related to health facilities today is increasingly helping to
manage patients with different diseases. The most fatal of these is the issue of heart disease …

A machine learning model for improving healthcare services on cloud computing environment

A Abdelaziz, M Elhoseny, AS Salama, AM Riad - Measurement, 2018 - Elsevier
Recently, cloud computing gained an important role in healthcare services (HCS) due to its
ability to improve the HCS performance. However, the optimal selection of virtual machines …

[HTML][HTML] Heart disease detection by using machine learning algorithms and a real-time cardiovascular health monitoring system

S Nashif, MR Raihan, MR Islam, MH Imam - World Journal of Engineering …, 2018 - scirp.org
Cardiovascular diseases are the most common cause of death worldwide over the last few
decades in the developed as well as underdeveloped and developing countries. Early …

Applying machine learning algorithms to develop a universal cardiovascular disease prediction system

E Maini, B Venkateswarlu, A Gupta - … and Internet of Things (ICICI) 2018, 2019 - Springer
The biggest reason that accounts to the maximum number of death worldwide are
cardiovascular disease. ie a huge section of people die due to Cardiovascular (CVDs) than …

IoT-based patient monitoring system for predicting heart disease using deep learning

G Ramkumar, J Seetha, R Priyadarshini, M Gopila… - Measurement, 2023 - Elsevier
Motivation: Chronic diseases include diabetes, cancer, heart disease (HD), and chronic
respiratory diseases are the main causes of mortality globally. It is quite challenging to …

Diagnosis of heart disease using internet of things and machine learning algorithms

A Kishor, W Jeberson - … of second international conference on computing …, 2021 - Springer
In the current scenario of the digital world, the healthcare industry generates a huge amount
of patient data. Manual handling of these produced data becomes very difficult for doctors …

RETRACTED ARTICLE: An optimal artificial neural network based big data application for heart disease diagnosis and classification model

R Thanga Selvi, I Muthulakshmi - Journal of Ambient Intelligence and …, 2021 - Springer
At present days, world is facing several issues like irregular distribution of medicinal
resources, new chronic diseases, and the raising operating cost. The way of combining …