Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A hypermedia system for parasite identification

C Lalle1

  • 1ISRDS--National Research Council, Rome, Italy. lalle@www.isrds.rm.cnr.it

International Journal of Bio-Medical Computing
|June 1, 1996
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Relevance of mandates, notifications and threads in the management of continuity of care.

Studies in health technology and informatics·2001
Same author

A hypermedia tool to support the interaction between radiologists and clinicians.

Studies in health technology and informatics·1999
Same author

A hypermedia radiological reporting system.

Studies in health technology and informatics·1996
Same author

Context trees: representing co-operative healthcare activities in IREP.

Computer methods and programs in biomedicine·1995
Same author

Modeling the management of protocols as the kernel of a healthcare information system.

Medinfo. MEDINFO·1995
Same author

A model for the structured description of healthcare activities and related data.

Studies in health technology and informatics·1994
Same journal

Commentary on a futuristic model of patient record systems and telemedicine.

International journal of bio-medical computing·1996
Same journal

Nonlinear eye movement detection method for drowsiness studies.

International journal of bio-medical computing·1996
Same journal

Segmentation of auditory brainstem response signals.

International journal of bio-medical computing·1996
Same journal

A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis.

International journal of bio-medical computing·1996
Same journal

Methodology for using the UMLS as a background knowledge for the description of surgical procedures.

International journal of bio-medical computing·1996
Same journal

An MLP-based model for identifying qEEG in depression.

International journal of bio-medical computing·1996
See all related articles

This paper introduces a user-friendly hypermedia system for identifying Trematoda parasites. The system aids in understanding parasite agents, vectors, diseases, and geographic distribution for improved diagnostics.

Area of Science:

  • Parasitology
  • Medical Informatics
  • Bioinformatics

Background:

  • Parasite identification is crucial for disease control.
  • Existing diagnostic tools may lack comprehensive information integration.
  • Hypermedia systems offer novel approaches to knowledge management.

Purpose of the Study:

  • To develop and describe a hypermedia system for parasite identification.
  • To create a knowledge base focused on the Trematoda parasite class.
  • To design a user-friendly human-machine interface for the system.

Main Methods:

  • Development of a hypermedia system.
  • Construction of a knowledge base detailing parasite agents, vectors, diseases, International Classification of Diseases (ICD) categories, and geographic areas.

Related Experiment Videos

  • Implementation of a graphical user interface (GUI).
  • Main Results:

    • A functional hypermedia system for Trematoda parasite identification has been realized.
    • The knowledge base integrates diverse information relevant to parasitology.
    • A user-friendly interface facilitates system interaction.

    Conclusions:

    • The developed hypermedia system provides an effective tool for parasite identification.
    • Integrated knowledge bases enhance diagnostic capabilities.
    • User-friendly interfaces are key to the adoption of such systems in scientific research and healthcare.