The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …

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 …

Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …

Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …

Data mining technology can search for potentially valuable knowledge from a large amount
of data, mainly divided into data preparation and data mining, and expression and analysis …

Health data are increasingly being generated at a massive scale, at various levels of
phenoty** and from different types of resources. Concurrent with recent technological …

Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …

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 …

Abstract Machine learning is one of the essential and effective tools in analyzing highly
complex medical data. With vast amounts of medical data being generated, there is an …