Jove
Visualize
Contact Us

Related Concept Videos

Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

4.8K
Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
4.8K
Diabetes: Management and Pharmacotherapy01:15

Diabetes: Management and Pharmacotherapy

844
The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
844
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

4.2K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
4.2K
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

2.0K
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
2.0K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

3.1K
Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
3.1K
Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

6.3K
Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
6.3K

You might also read

Related Articles

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

Sort by
Same author

PCOSFusionNet: Hybrid Deep Feature Fusion Network for PCOS Classification from Ultrasound Images of Ovaries.

Ultrasonic imaging·2026
Same author

Sentiment analysis: A survey on design framework, applications and future scopes.

Artificial intelligence review·2023
Same author

Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC).

Multimedia tools and applications·2022
Same author

Early detection of Parkinson disease using stacking ensemble method.

Computer methods in biomechanics and biomedical engineering·2022
Same author

Perspective of AI system for COVID-19 detection using chest images: a review.

Multimedia tools and applications·2022
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 Video

Updated: Jan 7, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.3K

DiabeRules: a transparent rule based expert system for managing diabetes.

Arpita Nath Boruah1, Saroj Kumar Biswas2

  • 1Faculty of Computer Technology, Assam Down Town University, Sankar Madhab Path, Gandhi Nagar, Panikhaiti, Guwahati, Assam 781026 India.

Health Information Science and Systems
|December 29, 2025
PubMed
Summary

This study introduces DiabeRules, an expert system for early diabetes detection and management. It uses a refined decision tree to identify key risk factors, aiding in disease prevention and control.

Keywords:
Decision treeDiabetesDisease managementHeuristic searchHill climbing approachMachine learningRule based system

More Related Videos

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

9.4K
Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature
10:07

Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature

Published on: December 26, 2017

13.9K

Related Experiment Videos

Last Updated: Jan 7, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.3K
A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

9.4K
Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature
10:07

Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature

Published on: December 26, 2017

13.9K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Computational Biology

Background:

  • Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia, posing significant health risks including cardiovascular damage, nerve damage, and stroke.
  • Early detection and management of diabetes are crucial to mitigate severe complications and reduce mortality rates.
  • Existing systems often lack transparency, hindering patient understanding and adherence to management strategies.

Purpose of the Study:

  • To develop an expert system, DiabeRules, for transparent and comprehensible diabetes management.
  • To identify primary diabetes-related rules and risk factors using a refined decision tree approach.
  • To enhance early diabetes detection and facilitate preventive measures for affected individuals.

Main Methods:

  • Implementation of a hybrid decision tree (DT) for identifying diabetes-related rules.
  • Refinement of the DT using a Sequential Hill Climbing approach with a customizable heuristic function.
  • Evaluation of the DiabeRules system using a diabetes dataset from the UCI repository, comparing its performance against existing systems.

Main Results:

  • The DiabeRules model successfully generated a transparent and comprehensible set of decision rules.
  • The system effectively identified essential rules and critical risk factors associated with diabetes.
  • Experimental results indicated the effectiveness of DiabeRules in diabetes management compared to current systems.

Conclusions:

  • DiabeRules provides an effective and transparent approach to diabetes management through comprehensible rules.
  • The system aids in early risk factor identification, empowering individuals to take preventive actions.
  • This expert system demonstrates the potential of AI in improving diabetes care and patient outcomes.