The biomedical literature is growing rapidly, and the extraction of meaningful information
from the large amount of literature is increasingly important. Biomedical named entity …

Objective: Rapid advances of high-throughput technologies and wide adoption of electronic
health records (EHRs) have led to fast accumulation of–omic and EHR data. These …

The computerized healthcare information system has undergone tremendous
advancements in the previous two decades. Medical institutions are paying further attention …

The need to have equitable access to quality healthcare is enshrined in the United Nations
(UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of …

Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …

Objective. The aim of this study was to provide a definition of big data in healthcare.
Methods. A systematic search of PubMed literature published until May 9, 2014, was …

Monitoring and modeling biomedical, health care and wellness data from individuals and
converging data on a population scale have tremendous potential to improve understanding …

Objectives: Implementation of Electronic Health Record (EHR) systems continues to expand.
The massive number of patient encounters results in high amounts of stored data …

Big data are receiving an increasing attention in biomedicine and healthcare. It is therefore
important to understand the reason why big data are assuming a crucial role for the …

The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …