Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …

Ontologies, Phenotypes, and Big Data Data-organizing methods have been in place for
centuries, but very large data sets have come into being relatively recently. The authors …

Objective Health care generated data have become an important source for clinical and
genomic research. Often, investigators create and iteratively refine phenotype algorithms to …

The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

The national adoption of electronic health records (EHR) promises to make an
unprecedented amount of data available for clinical research, but the data are complex …

Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

Background Genetic studies require precise phenotype definitions, but electronic medical
record (EMR) phenotype data are recorded inconsistently and in a variety of formats …

Inferring precise phenotypic patterns from population-scale clinical data is a core
computational task in the development of precision, personalized medicine. The traditional …

Although the best-known use of blockchain technology (BCT) is in the field of economics
and cryptocurrencies in general, its usefulness is extending to other fields, including the …

With the completion of the Human Genome Project1 as well as recent advances in genomic
science and comparative biological studies, a new era of individualized medicine is evolving …