With more and more data generated, it has become a big challenge for traditional
architectures and infrastructures to process large amounts of data within an acceptable time …

Wearable medical devices with sensor continuously generate enormous data which is often
called as big data mixed with structured and unstructured data. Due to the complexity of the …

Abstract Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System (MKL with
ANFIS) based deep learning method is proposed in this paper for heart disease diagnosis …

Alzheimer disease is a significant problem in public health. Alzheimer disease causes
severe problems with thinking, memory and activities. Alzheimer disease affected more on …

The change in the DNA is a form of genetic variation in the human genome. In addition, the
DNA copy number change is also linked with the progression of many emerging diseases …

Electrocardiographic (ECG) signals often consist of unwanted noises and speckles. In order
to remove the noises, various image processing filters are used in various studies. In this …

This chapter proposes an efficient centralized secure architecture for end to end integration
of IoT based healthcare system deployed in Cloud environment. The proposed platform …

Nowadays, sensors are playing a vital role in almost all applications such as environmental
monitoring, transport, smart city applications and healthcare applications and so on …

Most of the advancements are now carried out by interconnecting physical devices with
computers; this is what known as Internet of Things (IoT). The major problems facing by blind …

Big Data has gained much attention from researchers in healthcare, bioinformatics, and
information sciences. As a result, data production at this stage will be 44 times greater than …