BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

With big data growth in biomedical and healthcare communities, accurate analysis of
medical data benefits early disease detection, patient care, and community services …

Healthcare data generates a huge volume of information in various formats at high velocity
with sometimes questionable veracity (Barkhordari and Niamanesh, 2015)(4V). As a result …

Now-a-days, people face various diseases due to the environmental condition and their
living habits. So the prediction of disease at earlier stage becomes important task. But the …

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and
IoT principles and technologies The main goal of this book is to spur the development of …

Autism spectrum is a brain development condition that impairs an individual's capacity to
communicate socially and manifests through strict routines and obsessive–compulsive …

Data analysis plays a significant role in handling a large amount of data in the healthcare.
The previous medical researches based on handling and assimilate a huge amount of …

Big data development in biomedical and medical service networks provides a research on
medical data benefits, early ailment detection, patient care and network administrations. e …

Increasing the growth of big data, particularly in healthcare‐Internet of Things (IoT) and
biomedical classes, tends to help patients by identifying the disease early through methods …

Using artificial intelligence to predict body dimensions rather than measuring them
physically is a new research direction in apparel industry. If implemented, this technology …