Natural language processing (NLP) is a subfield of artificial intelligence devoted to
understanding and generation of language. The recent advances in NLP technologies are …

Objectives: We survey recent developments in medical Information Extraction (IE) as
reported in the literature from the past three years. Our focus is on the fundamental …

Background: Qualitative methods analyze contextualized, unstructured data. These methods
are time and cost intensive, often resulting in small sample sizes and yielding findings that …

Data science is an inter-disciplinary field that uses computer-based algorithms and methods
to gain insights from large and often complex datasets. Data science, which includes …

As a leading cause of death and morbidity, heart failure (HF) is responsible for a large
portion of healthcare and disability costs worldwide. Current approaches to define specific …

Natural language processing (NLP) is an effective tool for generating structured information
from unstructured data, the one that is commonly found in clinical trial texts. Such …

Text classification tasks which aim at harvesting and/or organizing information from
electronic health records are pivotal to support clinical and translational research. However …

Open, honest, and trustworthy communication is crucial to ensure the effective responses of
citizens. Paralleling transparency in the arena of public health are new practice policies that …

Background About 30% of home healthcare patients are hospitalized or visit an emergency
department (ED) during a home healthcare (HHC) episode. Novel data science methods are …

The automatic text-based diagnosis remains a challenging task for clinical use because it
requires appropriate balance between accuracy and interpretability. In this paper, we …