[PDF][PDF] IoT based congenital heart disease prediction system to amplify the authentication and data security using cloud computing

J Mistry, A Ganesh, R Ramakrishnan… - European Chemical …, 2023 - researchgate.net
This paper discusses the development of an IoT-based Congenital Heart Disease prediction
system to automate the process of predicting cardiovascular diseases. This system is based …

Review on Federated Learning for digital transformation in healthcare through big data analytics

M Babar, B Qureshi, A Koubaa - Future Generation Computer Systems, 2024 - Elsevier
Abstract In recent years, Big Data Analytics (BDA) and Federated Learning (FL) have
become increasingly essential in healthcare, potentially revolutionizing patient care and …

[HTML][HTML] Heart failure patients monitoring using IoT-based remote monitoring system

M Umer, T Aljrees, H Karamti, A Ishaq, S Alsubai… - Scientific Reports, 2023 - nature.com
Intelligent health monitoring systems are becoming more important and popular as
technology advances. Nowadays, online services are replacing physical infrastructure in …

[PDF][PDF] An Analysis of IoT-Based Solutions for Congenital Heart Disease Monitoring and Prevention

J Mistry, A Ganesh - Journal of Xidian University, 2023 - researchgate.net
The application of Internet of Things (IoT) to Congenital Heart Disease (CHD) monitoring is
ushering in a new era of health care. Intelligent IoT-based devices used together with cloud …

Machine Learning in Healthcare Analytics: A State-of-the-Art Review

S Das, SP Nayak, B Sahoo, SC Nayak - Archives of Computational …, 2024 - Springer
The use of machine learning (ML) models have become a crucial factor in the growing field
of healthcare, ushering in a new era of medical research and diagnosis. This study …

A Review of Machine Learning Techniques Used in the Prediction of Heart Disease.

CS Chaithra, S Siddesha… - Revue d'Intelligence …, 2024 - search.ebscohost.com
Heart disease stands as a principal cause of death worldwide, and its early prediction is
essential for effective patient management and the reduction of healthcare expenditures. In …

[HTML][HTML] Enhancing healthcare IoT systems for diabetic patient monitoring: Integration of Harris Hawks and grasshopper optimization algorithms

M Hosseinzadeh, Z Arabi, S Ali, H Min, MH Malik - Plos one, 2024 - journals.plos.org
The integration of the Internet of Things (IoT) in healthcare, especially for people with
diabetes, allows for constant health monitoring. This means that doctors can watch over …

An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision

SE Sorour, AA Hany, MS Elredeny, A Sedik… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic medical diagnosis has gained significant attention among researchers,
particularly in disease diagnosis. Differentiating between dermatology diseases is pivotal in …

[HTML][HTML] Remaining Useful Life Estimation of MoSi2 Heating Element in a Pusher Kiln Process

HM Irfan, PH Liao, MI Taipabu, W Wu - Sensors, 2024 - mdpi.com
The critical challenge of estimating the Remaining Useful Life (RUL) of MoSi2 heating
elements utilized in pusher kiln processes is to enhance operational efficiency and minimize …

A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT‐Fog system

PB Corthis, GP Ramesh, AB Jayachandra - Expert Systems, 2024 - Wiley Online Library
The primary aim of this article is to propose an effective dengue disease monitoring system
by integrating deep learning models with Internet of Things (IoT) and fog computing. In this …