Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …

Background The development of consumer health information applications such as health
education websites has motivated the research on consumer health vocabulary (CHV). Term …

Chapter Overview In this chapter we provide a broad overview of selected knowledge
management, data mining, and text mining techniques and their use in various emerging …

Background We develop medical-specialty specific ontologies that contain the settled
science and common term usage. We leverage current practices in information and …

Terminology extraction commonly includes two steps: identification of term-like units in the
texts, mostly multi-word phrases, and the ranking of the extracted term-like units according to …

Biomedical terminologies and ontologies are frequently described as enabling resources in
text mining systems [1–3]. These resources are used to support tasks such as entity …

Automatically identifying collocations in a text can be useful for applications such as
machine translation and building lexicons or knowledge bases. This thesis presents an …

Patient-reported functional status is widely recognized as an important patient-centered
outcome that adds value to medical care, research, and quality improvement. Functional …

Assessing how individuals perform different activities is key information for modeling health
states of individuals and populations. Descriptions of activity performance in clinical free text …

Epidemiologic studies contribute greatly to evidence-based medicine by identifying risk
factors for diseases and determining optimal treatments for clinical practice. However, there …