Objective This work aims to provide a review of the existing literature in the field of
automated machine learning (AutoML) to help healthcare professionals better utilize …

Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

Abstract These European Resuscitation Council Ethics guidelines provide evidence-based
recommendations for the ethical, routine practice of resuscitation and end-of-life care of …

With the rapid adoption of high-throughput omic approaches to analyze biological samples
such as genomics, transcriptomics, proteomics, and metabolomics, each analysis can …

Abstract Background The application of Big Data analytics in healthcare has immense
potential for improving the quality of care, reducing waste and error, and reducing the cost of …

Healthcare systems around the world are facing incredible challenges due to the ageing
population and the related disability, and the increasing use of technologies and citizen's …

Objectives A number of technologies can reduce overall costs for the prevention or
management of chronic illnesses. These include devices that constantly monitor health …

Power is a growing area of study for researchers and practitioners working in the field of
health policy and systems research (HPSR). Theoretical development and empirical …

The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

This authoritative handbook is the reference of choice for researchers and students of
personality. Leading authorities describe the most important theoretical approaches in …