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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Medical S...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Medical Systems
Article . 2001 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Neural Network in Communication with Medical Computer System

Authors: Rafal Wawrzyniak; Joanna Stempczyńnska; Edward Kackicki;

Neural Network in Communication with Medical Computer System

Abstract

The paper presents a concept of an experimental module designed to recognize spoken utterances that cover a limited range of words indispensable in dialogs with computer medical systems. Research into the recognition of spoken words by a module based on artificial neural network is described. Usefulness of the obtained results for surgery-assisting multimedia systems and for a patient simulator supporting medical education of students in case history-taking and diagnosing is also discussed.

Keywords

Education, Medical, Expert Systems, Patient Simulation, Computer Communication Networks, User-Computer Interface, Multimedia, Artificial Intelligence, Computer Systems, Surgical Procedures, Operative, Humans, Speech, Diagnosis, Computer-Assisted, Neural Networks, Computer, Poland, Medical History Taking

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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