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Porting a handheld cognitive assessment form to a mental expert system : Using a personal digital assistant (PDA) to assist screening a patient’s performance in a clinical examination

PDAs in clinical practice : Having a database in your hand but keeping the decision in your brain

Neuroinformatics : Volume 1, Issue 1, March 2003

Neuroanatomical term generation and comparison between two terminologies

Content Provider	Springer Nature Link
Author	Srinivas, Prashanti R. Gusfield, Daniel Mason, Oliver Gertz, Michael Hogarth, Michael Stone, James Jones, Edward G. Gorin, Fredric A.
Copyright Year	2003
Abstract	An approach and software tools are described for identifying and extracting compound terms (CTs), acronyms and their associated contexts from textual material that is associated with neuroanatomical atlases. A set of simple syntactic rules were appended to the output of a commercially available part of speech (POS) tagger (Qtag v 3.01) that extracts CTs and their associated context from the texts of neuroanatomical atlases. This “hybrid” parser appears to be highly sensitive and recognized 96% of the potentially germane neuroanatomical CTs and acronyms present in the cat and primate thalamic atlases.A comparison of neuroanatomical CTs and acronyms between the cat and primate atlas texts was initially performed using exact-term matching. The implementation of string-matching algorithms significantly improved the identification of relevant terms and acronyms between the two domains. The End Gap Free string matcher identified 98% of CTs and the Needleman Wunsch (NW) string matcher matched 36% of acronyms between the two atlases.Combining several simple grammatical and lexical rules with the POS tagger (“hybrid parser”) (1) extracted complex neuroanatomical terms and acronyms from selected cat and primate thalamic atlases and (2) and facilitated the semi-automated generation of a highly granular thalamic terminology. The implementation of string-matching algorithms (1) reconciled terminological errors generated by optical character recognition (OCR) software used to generate the neuroanatomical text information and (2) increased the sensitivity of matching neuroanatomical terms and acronyms between the two neuroanatomical domains that were generated by the “hybrid” parser.
Starting Page	177
Ending Page	192
Page Count	16
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	1
Issue Number	2
e-ISSN	15590089
Language	English
Publisher	Humana Press
Publisher Date	2003-01-01
Publisher Place	Totowa
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biotechnology Engineering Neurology
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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