Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …

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 …

The most widely used technique for solving and optimizing a real-life problem is linear
programming (LP), due to its simplicity and efficiency. However, in order to handle the …

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 …

The world is reeling in the midst of the novel coronavirus pandemic with fear of rising toll due
to the deadly virus. Decision making during a pandemic outbreak has numerous challenges …