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

Nursing Clinical Information System01:27

Nursing Clinical Information System

1.5K
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:
1.5K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.4K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.4K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

1.9K
1.9K
Decision Making: P-value Method01:09

Decision Making: P-value Method

7.4K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.4K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

1.0K
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...
1.0K
Dosage Regimen: Individualization01:24

Dosage Regimen: Individualization

369
Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...
369

You might also read

Related Articles

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

Sort by
Same author

Generation of Training Data to Distinguish Adverse Events from Medical Conditions.

Studies in health technology and informatics·2026
Same author

Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.

Bioengineering (Basel, Switzerland)·2026
Same author

Electronic Health Record based recruitment support systems: A scoping review to improve patient inclusion within clinical trials.

International journal of medical informatics·2025
Same author

Systèmes d'aide au recrutement dans les essais cliniques utilisant les dossiers patients informatisés : Une revue de littérature pour améliorer l'inclusion des patients.

Journal of epidemiology and population health·2025
Same author

OpenPVSignal Knowledge Graph: Pharmacovigilance Signal Reports in a Computationally Exploitable FAIR Representation.

Drug safety·2025
Same author

Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review.

Journal of medical Internet research·2025
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Apr 12, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.7K

Personalized decision support system based on clinical practice guidelines.

Nassim Douali1, Jos De Roo2, Pauline Sweetman3

  • 1INSERM UMRS 1142, Medicine Faculty, Pierre and Marie Curie University, Sorbonne Universities, Paris, France.

Studies in Health Technology and Informatics
|May 19, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a Case-Based Fuzzy Cognitive Map (CBFCM) model for personalized diagnostic decisions. This approach enhances clinical practice guidelines by handling imprecise and uncertain health information for better treatment choices.

More Related Videos

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.2K
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

849

Related Experiment Videos

Last Updated: Apr 12, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.7K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.2K
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

849

Area of Science:

  • Personalized medicine
  • Health informatics
  • Computational intelligence

Background:

  • Personalized medicine integrates individual clinical, genetic, genomic, and environmental data for tailored patient care.
  • Accurate diagnosis is crucial for effective treatment decisions in personalized medicine.
  • Disease symptoms can vary significantly based on patient age and etiology, complicating diagnosis.

Purpose of the Study:

  • To investigate and evaluate a model framework for personalized diagnostic decisions.
  • To apply Case-Based Fuzzy Cognitive Map (CBFCM) for modeling clinical practice guidelines.
  • To address challenges of imprecision and uncertainty in diagnostic reasoning.

Main Methods:

  • Utilized Case-Based Fuzzy Cognitive Map (CBFCM), integrating fuzzy logic and neural processing.
  • Modeled a cognitive process mimicking intuitive human reasoning for diagnostic scenarios.
  • Explored the application of CBFCM for representing and evaluating clinical practice guidelines.

Main Results:

  • Demonstrated the feasibility of using CBFCM for personalized diagnostic decision-making.
  • Showcased the model's ability to handle imprecise and uncertain information inherent in clinical data.
  • Provided a framework for enhancing the adaptability of clinical practice guidelines.

Conclusions:

  • CBFCM offers a robust approach for personalized diagnostic support.
  • The model facilitates evidence-based, individualized patient care by improving diagnostic accuracy.
  • This framework supports the dynamic and adaptive nature of personalized medicine.