Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …

Natural language processing (NLP) is a set of automated methods to organise and evaluate
the information contained in unstructured clinical notes, which are a rich source of real-world …

The widespread use of electronic health records (EHR) systems in health care provides a
large amount of real-world data, leading to new areas for clinical research. Natural language …

Electronic medical records are increasingly used to store patient information in hospitals and
other clinical settings. There has been a corresponding proliferation of clinical natural …

Objectives Little is known about proactive risk assessment concerning emergency
department (ED) visits and hospitalizations in patients with heart failure (HF) who receive …

Background Nurses often document patient symptoms in narrative notes. Purpose This study
used a technique called natural language processing (NLP) to:(1) Automatically identify …

Although machine learning is increasingly being applied to support clinical decision making,
there is a significant gap in understanding what it is and how nurses should adopt it in …

Natural language processing includes a variety of techniques that help to extract meaning
from narrative data. In healthcare, medical natural language processing has been a growing …

Background Patients with heart failure (HF) who actively engage in their own self-
management have better outcomes. Extracting data through natural language processing …

Opioid use disorder (OUD) represents a global public health crisis that challenges classic
clinical decision making. As existing hospital screening methods are resource-intensive …