Globally, antimicrobial resistance (AMR) and climate change (CC) are two of the top health
emergencies, and can be considered as two interlinked public health priorities. The complex …

Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …

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 …

The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

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 …