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

Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

4.2K
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...
4.2K
Diabetes: Management and Pharmacotherapy01:15

Diabetes: Management and Pharmacotherapy

682
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...
682
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

3.7K
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...
3.7K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

2.3K
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,...
2.3K
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

1.4K
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...
1.4K

You might also read

Related Articles

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

Sort by
Same author

The Moderating Effect of Physical Activity on the Association Between Cognitive Function and Fear of Falling in Low-Income Community-Dwelling Older Adults.

Research in gerontological nursing·2026
Same author

Pathologic Complete Response After Preoperative Ipilimumab and Nivolumab in an HLRCC Patient with Stage III Renal Cell Carcinoma.

Journal of kidney cancer and VHL·2026
Same author

Relationships Between the Community Environment, Physical Activity, and Fall Risk in Low-Income Older Adults.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2026
Same author

Diabetes Diagnosis Patterns in Medicaid: How State Policy, Managed Care, and Social Vulnerability Shape Detection in Medicaid.

Medical care·2026
Same author

Health care cost trajectories among patients with cancer and cardiometabolic comorbidities over a decade including the pandemic period.

Journal of managed care & specialty pharmacy·2026
Same author

Digital Divide and Diabetes Self-Management Education and Support Among Medicare Beneficiaries.

The science of diabetes self-management and care·2025

Related Experiment Video

Updated: Nov 10, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
06:22

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

998

Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study.

John Zimmerman1, Robin E Soler2, James Lavinder3

  • 1Deloitte Consulting, LLP, 191 Peachtree Street, Atlanta, GA, 30303, USA. Jzimmerman@deloitte.com.

Systematic Reviews
|April 3, 2021
PubMed
Summary

This study introduces a machine learning (ML) approach to improve systematic reviews (SRs). The method achieved 99.5% sensitivity in identifying relevant articles while reducing human review load by 69%.

Keywords:
Applied case studyMachine learningMachine learning configurationsNatural language processingSystematic review screeningTransfer learning

More Related Videos

An In Ovo Model for Testing Insulin-mimetic Compounds
06:09

An In Ovo Model for Testing Insulin-mimetic Compounds

Published on: April 23, 2018

10.9K
A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

26.2K

Related Experiment Videos

Last Updated: Nov 10, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
06:22

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

998
An In Ovo Model for Testing Insulin-mimetic Compounds
06:09

An In Ovo Model for Testing Insulin-mimetic Compounds

Published on: April 23, 2018

10.9K
A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

26.2K

Area of Science:

  • Medical Informatics
  • Computational Biology
  • Evidence-Based Medicine

Background:

  • Systematic Reviews (SRs) are crucial for synthesizing research but face challenges due to expanding literature.
  • Text analytics and machine learning (ML) offer potential solutions for efficient and rigorous SRs.
  • Traditional SR screening is time-consuming, necessitating advanced tools.

Purpose of the Study:

  • To develop and test an ML-assisted method for pre-screening titles and abstracts in SRs.
  • To reduce the pool of articles for SRs while maintaining high accuracy.
  • To validate the performance of the ML approach in a real-world SR effort.

Main Methods:

  • An ML approach was developed using existing SRs to guide configurations.
  • Human confirmation was integrated iteratively to refine ML predictions.
  • The method was applied to a new SR for performance validation.

Main Results:

  • The ML approach achieved 99.5% sensitivity (213/214 relevant articles).
  • Human review was reduced to 31% of the total articles.
  • The method demonstrated effectiveness in down-selecting relevant articles and minimizing Type II errors.

Conclusions:

  • The iterative ML method helps overcome bias in initial model training through human reinforcement.
  • This approach represents an applied step towards transfer learning for ML in SRs.
  • The method shows promise for enhancing the efficiency and rigor of systematic reviews.