Related Experiment Video
Updated: Jul 17, 2026
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Syntactically-informed semantic category recognition in discharge summaries
Tawanda Sibanda1, Tian He, Peter Szolovits
1MIT CSAIL, Cambridge, MA 02139, USA.
Abstract:
Semantic category recognition (SCR) contributes to document understanding. Most approaches to SCR fail to make use of syntax. We hypothesize that syntax, if represented appropriately, can improve SCR. We present a statistical semantic category (SC) recognizer trained with syntactic and lexical contextual clues, as well as ontological information from UMLS, to identify eight semantic categories in discharge summaries. Some of our categories, e.g., test results and findings, include complex entries that span multiple phrases. We achieve classification F-measures above 90% for most categories and show that syntactic context is important for SCR.
Related Concept Videos
01:31Discharge Summary Forms
Here's a detailed look at the key components and guidelines for preparing a discharge summary:
01:19Encoding
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
01:18Methods of Documentation I: Source-Oriented Records
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
01:17Flow Sheet
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:
01:29Spasmolytic Agents: Chemical Classification
A major class of centrally acting spasmolytics is the α2-agonist, such as tizanidine. These drugs bind to α2-adrenoceptors, inhibiting the release of the excitatory neurotransmitter glutamate. They also promote...