Type 2 diabetes remission: weight maintenance in the spotlight

Taheri, Shahrad

doi:10.1016/s2213-8587(24)00036-6

The Lancet Diabetes & Endocrinology

2024

DOI: 10.1016/s2213-8587(24)00036-6

|View full text |Cite

Type 2 diabetes remission: weight maintenance in the spotlight

Shahrad Taheri

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Predictive Model Approach for Enhancing Diet Management for Diabetes Patients Through Artificial Intelligence

Bhadouria,

Ahirwar

2024

Advances in Medical Technologies and Clinical Practice

View full text Add to dashboard Cite

Diabetes represents a severe global health crisis with escalating rates, complications, and economic impact. Effective management requires a combination of nutrition, physical activity, medication, and insulin therapy, but challenges like limited specialist access and medication adherence hinder optimal glycemic control. Recent advancements in digital health, especially artificial intelligence (AI), offer promising solutions. This study explores the integration of AI in diabetes management through a Random Forest classifier to provide personalized dietary recommendations. The Nutrition Diet Expert System (NDES) achieved impressive results with 96.48% accuracy, 0.98 precision, 0.96 recall, and 0.97 F1-score. By optimizing food intake, insulin management, and lifestyle adjustments, NDES supports stable blood glucose levels, healthy weight, and improved patient out-comes. Ongoing AI advancements continue to offer innovative strategies for tackling global diabetes challenges.

show abstract

Predictive Model Approach for Enhancing Diet Management for Diabetes Patients Through Artificial Intelligence

Bhadouria,

Ahirwar

2024

Advances in Medical Technologies and Clinical Practice

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Type 2 diabetes remission: weight maintenance in the spotlight

Cited by 1 publication

References 10 publications

Predictive Model Approach for Enhancing Diet Management for Diabetes Patients Through Artificial Intelligence

Predictive Model Approach for Enhancing Diet Management for Diabetes Patients Through Artificial Intelligence

Contact Info

Product

Resources

About