This paper proposes an ECG beat classification system based on deep autoencoder as
feature extractor and a system of multiple neural networks as classifier. The objectives are …

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 paper aims to examine the association between information and communication
technology (ICT), economic growth and population health based on health production model …

There are many developed techniques to be experienced for biomedical data mining. Due to
the growing number of cardiac patients, many data are stored by different organizations. It …

Unusual development of skin cells tends to the skin lesion problem. Early diagnosis may
help to avoid some types of cancers like melanoma and focal cell carcinoma. The detection …

Heart arrhythmia disease is a heart condition in which the electrical pulses that control the
heartbeat become abnormal and leads to an irregular rhythm. In this work, we propose a …

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 …

Automated disease diagnosis system is an effective toll in health care system which can
reduce the death rate. This automated prediction system can predict the disease at an early …

This chapter focuses on clinical decision system (CDS) uses in healthcare units. In this
chapter, cognitive approaches are taken using soft computing techniques to design clinical …

Heart disease is a major concern in today's world. It is increasing day by day. Diagnosis of
this disease is a difficult task and it has to be predicted earlier in beforehand it causes any …