Extraction of SNOMED Concepts from Medical Record Texts

From Tetherless World Wiki

Jump to: navigation, search

Citation: Diane E. Oliver and Russ B. Altman. (1994) Extraction of SNOMED Concepts from Medical Record Texts. In KSL-94-33, November,1994.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Diane E. Oliver and Russ B. Altman
title Extraction of SNOMED Concepts from Medical Record Texts
number KSL-94-33
institution Knowledge Systems, AI Laboratory
year 1994
month November
Bibtex more
note Updated November 1994. Medical Computer Science
Access Paper
abstract Clinicians have traditionally documented patient data using natural language text. With the increasing prevalence of computer systems in health care, an increasing amount of medical record text will be stored electronically.However, for such textual documents to be indexed, shared, and processed adequately by computers, it will be important to be able to identify concepts in the documents using a common medical terminology. Automated methods for extracting concepts in a standard terminology would enhance retrieval and analysis of medical record data. This paper discusses a method for extracting concepts from medical record documents using the medical terminology SNOMED-III(Systematized Nomenclature of Human and Veterinary Medicine, Version III). The technique employs a linear least squares fit that maps training set phrases to SNOMED concepts. This mapping can be used for unknown text inputs in the same domain as the training set to predict SNOMED concepts that are contained in the document. We have implemented the method in the domain of congestive heart failure for history and physical exam texts. Our system has a reasonable response time. We tested the system over a range of thresholds. The system performed with 90% sensitivity and 83% specificity at the lowest threshold, and42% sensitivity and 99.9% specificity at the highest threshold.

KSL Technical Report ID: KSL-94-33
Facts about Extraction of SNOMED Concepts from Medical Record TextsRDF feed
Abstract Clinicians have traditionally documented p … Clinicians have traditionally documented patient data using natural language text. With the increasing prevalence of computer systems in health care, an increasing amount of medical record text will be stored electronically.However, for such textual documents to be indexed, shared, and processed adequately by computers, it will be important to be able to identify concepts in the documents using a common medical terminology. Automated methods for extracting concepts in a standard terminology would enhance retrieval and analysis of medical record data. This paper discusses a method for extracting concepts from medical record documents using the medical terminology SNOMED-III(Systematized Nomenclature of Human and Veterinary Medicine, Version III). The technique employs a linear least squares fit that maps training set phrases to SNOMED concepts. This mapping can be used for unknown text inputs in the same domain as the training set to predict SNOMED concepts that are contained in the document. We have implemented the method in the domain of congestive heart failure for history and physical exam texts. Our system has a reasonable response time. We tested the system over a range of thresholds. The system performed with 90% sensitivity and 83% specificity at the lowest threshold, and42% sensitivity and 99.9% specificity at the highest threshold. 9.9% specificity at the highest threshold.
Author Diane E. Oliver and Russ B. Altman  +
Bibtype techreport  +
Has author Diane E. Oliver and Russ B. Altman  +
Has identifier KSL-94-33  +
Has publishing details November,1994  +
Has title Extraction of SNOMED Concepts from Medical Record Texts  +
Has where published KSL-94-33  +
Has year 1994  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-94-33  +
Month November  +
Note Updated November 1994. Medical Computer Science
Number KSL-94-33  +
Process note NO  +
Title Extraction of SNOMED Concepts from Medical Record Texts  +
Year 1994  +
Retrieved from "http://tw.rpi.edu/wiki/Extraction_of_SNOMED_Concepts_from_Medical_Record_Texts"
Personal tools