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

Colonic lesion expert system. Performance evaluation.

J E Weber1, P H Bartels, W Griswold

  • 1Department of Statistics, University of Arizona, Tucson 85721.

Analytical and Quantitative Cytology and Histology
|April 1, 1988
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

Acute neurological care in north-east Germany with telemedicine support (ANNOTeM): protocol of a multi-center, controlled, open-label, two-arm intervention study.

BMC health services research·2020
Same author

[Appropriate treatment of acute stroke at all times and in all places : Organizational concepts and new approaches].

Der Internist·2017
Same author

Relationships between depression, gender, and unhealthy weight loss practices among overweight or obese college students.

Eating behaviors·2014
Same author

[Mobile CT: technical aspects of prehospital stroke imaging before intravenous thrombolysis].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2012
Same author

The utility of PEG3350 without electrolytes for 2-day colonoscopy preparation in children.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie·2011
Same author

Global acetylation and methylation changes predict papillary urothelial neoplasia of low malignant potential recurrence: a quantitative analysis.

International journal of immunopathology and pharmacology·2011
Same journal

Micronuclei and other nuclear anomalies in buccal mucosa following exposure to X-ray radiation.

Analytical and quantitative cytology and histology·2012
Same journal

Color deconvolution. Optimizing handling of 3D unitary optical density vectors with polar coordinates.

Analytical and quantitative cytology and histology·2012
Same journal

Nuclear morphometry in the differential diagnosis of eosinophilic renal epithelial tumors.

Analytical and quantitative cytology and histology·2012
Same journal

Spectrum of prostatic nonepithelial tumors and tumorlike conditions with spindle cell features.

Analytical and quantitative cytology and histology·2012
Same journal

A framework for quantitative assessment of Ki67 distribution in preneoplastic bronchial epithelial lesions.

Analytical and quantitative cytology and histology·2012
Same journal

Classification and grading of noninvasive and invasive neoplasms of the urothelium.

Analytical and quantitative cytology and histology·2012
See all related articles

This study introduces an expert system for diagnosing colon conditions. The system accurately identifies normal colon tissue, adenomas, and adenocarcinomas, demonstrating its potential in clinical settings.

Area of Science:

  • Medical Informatics
  • Gastroenterology
  • Artificial Intelligence

Background:

  • Accurate diagnosis of colonic sections is crucial for effective treatment.
  • Existing diagnostic methods can be complex and time-consuming.
  • Computer-based decision support systems offer potential for improved diagnostic accuracy.

Purpose of the Study:

  • To describe a computer-based expert system for diagnosing colonic sections.
  • To evaluate the performance of this expert system in differentiating normal colon, adenoma, and adenocarcinoma.
  • To assess the system's diagnostic accuracy based on a defined set of clues and certainty factors.

Main Methods:

  • Development of a knowledge base with diagnostic clues and certainty factors for colonic diagnoses.

Related Experiment Videos

  • Implementation of a computer-based expert system to process diagnostic information.
  • Testing the system's performance on a dataset of normal colon, adenoma, and adenocarcinoma cases.

    • Main Results:

    • The expert system achieved perfect accuracy for normal colon diagnoses.
    • It correctly diagnosed 49 out of 50 adenoma cases.
    • It accurately diagnosed 48 out of 49 adenocarcinoma cases.

    Conclusions:

    • The developed expert system demonstrates high accuracy in diagnosing colonic sections.
    • The system shows significant potential as a diagnostic aid in gastroenterology.
    • Further analysis of database alterations can refine the system's performance.