Skip To Main Content
Burebiguli Maimaiti on Muck Rack

Burebiguli Maimaiti

As seen in: Frontiers
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Burebiguli

Contact Burebiguli, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Machine learning-based diagnostic models for prevalent metabolic syndrome among patients with disuse muscle atrophy: a comparative study of seven algorithms

|
By Wenhui Xiong, Lingyun Shi, Yujie Wang, Jiaojiao Shu, Halimire Abudujilili, Ailijiang Asila, Burebiguli Maimaiti, Gulizeba Wujimaimaiti, Palida Maimaiti
| Frontiers
Abstract Background: Disuse muscle atrophy (DMA) leads to muscle loss and impaired motor function, while metabolic syndrome (MetS) increases the risk of cardiovascular disease and diabetes. Muscle loss exacerbates insulin resistance, accelerates MetS progression, and creates a vicious cycle. This study aimed to develop and validate an interpretable machine learning (ML) model for identifying prevalent MetS in patients with DMA.
Open in Who Shared Issue with article?
See all 1 articles