Objectives This review examines work on automated summarization of electronic health
record (EHR) data and in particular, individual patient record summarization. We organize …

Ontologies are widely used in biological and biomedical research. Their success lies in their
combination of four main features present in almost all ontologies: provision of standard …

Cervical cancer is the second most common type of cancer for women. Existing screening
programs for cervical cancer, such as Pap Smear, suffer from low sensitivity. Thus, many …

The increasing amount of valuable, unstructured textual information poses a major
challenge to extract value from those texts. We need to use NLP (Natural Language …

Purpose Data providers have been increasingly publishing content as linked data (LD) on
the Web. This process includes guidelines (ie good practices) to publish, share, and connect …

There is a large amount of information in the form of unstructured documents which pose
challenges in the information storage, search, and retrieval. This situation has given rise to …

Unstructured data refers to information that either does not have a pre-defined data model or
is not organized in a pre-defined manner. Many studies confirm that around 80--90% of all …

Digital libraries build on classifying contents by capturing their semantics and (optionally)
aligning the description with an underlying categorization scheme. This process is usually …

The development of information retrieval and extraction systems is still a challenging task.
The occurrence of natural language limits the application of existing approaches. Therefore …

The increasing adoption of electronic health records (EHRs) has led to an unprecedented
amount of patient health information stored in an electronic format. The ability to comb …