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 Concept Videos

Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

You might also read

Related Articles

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

Sort by
Same author

BRCA1 c.68_69del as a founder variant in the Spanish Roma: prevalence and screening implications.

European journal of human genetics : EJHG·2026
Same author

Optimising rare tumour risk syndromes care: clinical insights and the PREVENTABLE socioeconomic framework.

European journal of human genetics : EJHG·2026
Same author

Genome Sequencing of Undiagnosed European Patients Suspected of Hereditary Cancer: Diagnostic Yield and Identification of Candidate Causative Variants.

JCO precision oncology·2026
Same author

Advancing Cancer Prevention through Precision Prediction.

Cancer discovery·2026
Same author

Measuring across modalities: Protophones as acoustic attention-getters in infant object communication.

Infant behavior & development·2026
Same author

Oncology with common sense: beyond biologistic and pharmacological models.

Ecancermedicalscience·2026

Related Experiment Video

Updated: Jun 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

eXiT*CBR: A framework for case-based medical diagnosis development and experimentation.

Beatriz López1, Carles Pous, Pablo Gay

  • 1Control Engineering and Intelligent Systems Research Group, Universitat de Girona, Campus Montilivi, Girona, Spain. beatriz.lopez@udg.edu

Artificial Intelligence in Medicine
|October 26, 2010
PubMed
Summary

The eXiT*CBR framework supports developing medical diagnosis systems using case-based reasoning (CBR). This user-friendly tool aids medical professionals in analyzing complex data and reproducing experiments for improved diagnostic accuracy.

Related Experiment Videos

Last Updated: Jun 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Medical informatics
  • Artificial intelligence in medicine

Background:

  • Medical applications require specialized tools for data interpretation, reproducibility, and handling complex datasets.
  • Existing tools often lack features tailored to the unique demands of medical applications.

Purpose of the Study:

  • To introduce the eXiT*CBR framework, designed to support the development and experimentation of case-based reasoning (CBR) systems for medical diagnosis.
  • To address the specific needs of medical applications, including result interpretation, experiment reproducibility, and complex data management.

Main Methods:

  • The eXiT*CBR framework provides a modular and heterogeneous environment integrating diverse CBR techniques.
  • Features a user-friendly graphical interface with pre-visualized experiments (ROC and accuracy curves) for easy navigation and analysis.
  • Supports integration with data mining techniques, such as feature relevance determination, as a plug-in.

Main Results:

  • Demonstrates eXiT*CBR as a user-friendly tool enabling medical users to apply CBR methods for diagnosis.
  • Successfully applied to breast cancer diagnosis, effectively handling various data patterns.
  • Facilitates interpretation of results through common medical visualization tools like ROC plots.

Conclusions:

  • eXiT*CBR fills the gap for tools specifically designed for medical applications, unlike general prototyping tools.
  • Enhances medical diagnosis by leveraging CBR methods and familiar visualization tools for easier result interpretation.
  • Enables tuning of CBR parameters and ensures experiment reproducibility through its navigation and analysis capabilities.