The impact of healthcare 4.0 on the healthcare service quality: a systematic literature review

M Sony, J Antony, O McDermott - Hospital topics, 2023 - Taylor & Francis
Healthcare 4.0 is inspired by Industry 4.0 and its application has resulted in a paradigmatic
shift in the field of healthcare. However, the impact of this digital revolution in the healthcare …

[HTML][HTML] Two-stage classification model for the prediction of heart disease using IoMT and artificial intelligence

S Manimurugan, S Almutairi, MM Aborokbah… - Sensors, 2022 - mdpi.com
Internet of Things (IoT) technology has recently been applied in healthcare systems as an
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …

A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model

NK Munagala, LRR Langoju, AD Rani… - biocybernetics and …, 2022 - Elsevier
A continuous heart disease monitoring system is one of the significant applications specified
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …

Lion based butterfly optimization with improved YOLO-v4 for heart disease prediction using IoMT

V Alamelu, S Thilagamani - Information Technology and Control, 2022 - itc.ktu.lt
Abstract The Internet of Medical Things (IoMT) has subsequently been used in healthcare
services to gather sensor data for the prediction and diagnosis of cardiac disease. Recently …

WoM-based deep BiLSTM: smart disease prediction model using WoM-based deep BiLSTM classifier

P Dhaka, B Nagpal - Multimedia Tools and Applications, 2023 - Springer
Diagnosis of cardiovascular disease has been significant due to the increased number of
people affected by cardiovascular diseases. Though various methods were developed in …

[HTML][HTML] Intelligent Bi-LSTM with architecture optimization for heart disease prediction in WBAN through optimal channel selection and feature selection

MG Veerabaku, J Nithiyanantham, S Urooj, AQ Md… - Biomedicines, 2023 - mdpi.com
Wireless Body Area Network (WBAN) is a trending technology of Wireless Sensor Networks
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …

[PDF][PDF] Application of IOT and machine learning techniques for heart disease prediction and diagnosis: A comprehensive review

A Ziryawulawo, AC Ogare, F Ayebare… - International Journal of …, 2022 - researchgate.net
Heart diseases and related disorders have emerged as the most dangerous and leading
cause of global deaths affecting mostly the elderly people who suffer from these diseases …

Heart disease prediction using IoT based framework and improved deep learning approach: medical application

G Rajkumar, TG Devi, A Srinivasan - Medical Engineering & Physics, 2023 - Elsevier
Heart disease is the biggest cause of death in the globe. The method of predicting cardiac
disease is exceedingly complex. It can only be done properly if the doctor has a lot of …

A scalable and real-time system for disease prediction using big data processing

A Ed-daoudy, K Maalmi, A El Ouaazizi - Multimedia Tools and …, 2023 - Springer
The growing chronic diseases patients and the centralization of medical resources cause
significant economic impact resulting in hospital visits, hospital readmission, and other …

Healthcare diagnostics with an adaptive deep learning model integrated with the Internet of medical Things (IoMT) for predicting heart disease

KK Baseer, K Sivakumar, D Veeraiah… - … Signal Processing and …, 2024 - Elsevier
Heart disease is a widespread health problem that poses a significant global challenge. It
includes a variety of heart-related conditions such as heart failure, coronary artery disease …