The healthcare industries generate a huge amount of data due to computer-aided diagnosis
system. In this paper authors have analyzed these huge amounts of data for the …

The huge amount of health data attracts machine learning (ML) techniques to medical
classification, and, through learning strategies, obtain remarkable results. Some techniques …

Research on biomedical signal to support the physician is boom of current research. In this
paper, the cardiac signal is considered for arrhythmia detection and classification. The data …

Among the applications of Internet of Things (IoT) smart health care and management is a
significant one. The wireless technologies and wearable sensors enable effective …

This article describes how the demand of hospital services increasing day by day. The smart
service to the patients is highly essential that counts the death rate. The diagnosis of the …

Cardiac data classification is an emerging research area in recent days. Machine learning-
based automatic classification model is one of the essential aspects for the diagnosis of …

Artificial intelligence is so impactful in the field of healthcare as its purpose is to make
systems more powerful in handling healthcare challenges, and by using different …

ECG signals are need to be analyzed accurately for better diagnosis. Different parameters of
ECG signals provide information regarding the heart disease. In this paper, an attempt has …

Research on biomedical signal analysis is growing day-by-day. Accurate classification is an
essential and challenging task. Authors in this work have tried to obtain better accuracy in …

Chronic diseases cause damage to important organs such as the brain, heart, and liver,
which can easily cause disability, affect labor ability and quality of life, and the medical …