Objectives To introduce blockchain technologies, including their benefits, pitfalls, and the
latest applications, to the biomedical and health care domains. Target Audience Biomedical …

Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

The rapidly expanding field of big data analytics has started to play a pivotal role in the
evolution of healthcare practices and research. It has provided tools to accumulate, manage …

Cross-institutional healthcare predictive modeling can accelerate research and facilitate
quality improvement initiatives, and thus is important for national healthcare delivery …

Background Nowadays, a number of mechanisms and tools are being used by health care
organizations and physicians to electronically exchange the personal health information of …

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

The generation of functional genomics data by next-generation sequencing has increased
greatly in the past decade. Broad sharing of these data is essential for research …

Motivation: Genome-wide association studies (GWAS) have been widely used in
discovering the association between genotypes and phenotypes. Human genome data …

Objective The classification of complex or rare patterns in clinical and genomic data requires
the availability of a large, labeled patient set. While methods that operate on large …

Abstract Objective The Cox proportional hazards model is a widely used method for
analyzing survival data. To achieve sufficient statistical power in a survival analysis, it …