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

Decision Making: P-value Method01:09

Decision Making: P-value Method

6.1K
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...
6.1K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.6K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.6K
Decision Making01:20

Decision Making

393
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
393
Data Validation01:03

Data Validation

6.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.0K
Critical Thinking II01:25

Critical Thinking II

3.7K
Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
3.7K
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

100
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
100

You might also read

Related Articles

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

Sort by
Same author

Complementary nonlinear optics for polarimetric computing in tellurium.

Nature communications·2026
Same author

Protective Effect of EDC/NHS Cross-Linking Against Urea-Induced Collagen Destabilization in Ready-to-Eat Sea Cucumber During Room-Temperature Storage.

Foods (Basel, Switzerland)·2026
Same author

Rhizosphere Ion Composition Shapes Microbial Communities and Is Associated with Plant Growth Variation in Saline-Alkali Soils.

Microorganisms·2026
Same author

Microbial Synergism Couples Root Metabolic Remodeling with Exudation Dynamics in <i>Liquidambar formosana</i>.

Microorganisms·2026
Same author

Dipole-Spin Synergy in PdO/YMn<sub>2</sub>O<sub>5</sub> Enables Fast Ozone Decomposition from -45 to >45 °C at High Humidity.

Environmental science & technology·2026
Same author

Tannic acid-reinforced anisotropic polyvinyl alcohol hydrogel for urethral stricture reconstruction.

Biomaterials·2026
Same journal

Causal intervention validation of gene regulatory signals in scGPT.

Journal of biomedical informatics·2026
Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: Nov 4, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.7K

Clinical decision-making framework against over-testing based on modeling implicit evaluation criteria.

Yang Yang1, Hongxing Huo1, Jingchi Jiang1

  • 1School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.

Journal of Biomedical Informatics
|May 27, 2021
PubMed
Summary
This summary is machine-generated.

A new framework, the clinical decision-making framework against over-testing based on modeling the implicit evaluation criteria (CDFO-MIEC), objectively identifies inappropriate diagnostic tests. This approach enhances clinical decision-making and prevents unnecessary medical testing.

Keywords:
Clinical decision-makingInterpretabilityMulti-label classificationOver-testing

More Related Videos

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.0K
Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.9K

Related Experiment Videos

Last Updated: Nov 4, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.7K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.0K
Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.9K

Area of Science:

  • * Medical Informatics
  • * Clinical Decision Support
  • * Statistical Modeling

Background:

  • * Current statistical methods for preventing over-testing lack generalized objective criteria.
  • * A unified framework is needed to determine the appropriateness of diagnostic tests recommended by physicians.
  • * Over-testing leads to increased healthcare costs and potential patient harm.

Purpose of the Study:

  • * To introduce the clinical decision-making framework against over-testing based on modeling the implicit evaluation criteria (CDFO-MIEC).
  • * To quantify subjective evaluation processes using statistics-based methods for identifying over-testing.
  • * To determine diagnostic test appropriateness using named entity recognition and entity alignment.

Main Methods:

  • * Defined implicit evaluation criteria: correlation (tests, symptoms, diseases), confirmation function, and exclusion function.
  • * Implemented four statistical evaluation strategies: multi-label k-nearest neighbor and conditional probability algorithms.
  • * Combined strategies into a classification and regression tree for final decision-making, ensuring interpretability.

Main Results:

  • * The CDFO-MIEC framework achieved a Mean F1-score of 0.9167 on 2,860 clinical texts from a respiratory medicine department.
  • * The framework effectively classified appropriate and inappropriate diagnostic tests.
  • * The four evaluation strategies were crucial for capturing relevant features and demonstrating high performance.

Conclusions:

  • * The proposed CDFO-MIEC framework is a feasible and high-performing solution for preventing diagnostic over-testing.
  • * The framework provides objective criteria for evaluating diagnostic test appropriateness.
  • * CDFO-MIEC supports clinical decision-making by offering interpretable conditions for identifying over-testing.