Using optimal subset regression to identify factors associated with insulin resistance and construct predictive models in the US adult population
R Gong, Y Liu, G Luo, J Yin, Z Xiao… - Endocrine …, 2022 - ec.bioscientifica.com
Background: In recent decades, with the development of the global economy and the
improvement of living standards, insulin resistance (IR) has become a common …
improvement of living standards, insulin resistance (IR) has become a common …
Establishment and Validation of a New Predictive Model for Insulin Resistance based on 2 Chinese Cohorts: A Cross‐Sectional Study
S Zhang, XC Wang, J Li, XH Wang… - International Journal …, 2022 - Wiley Online Library
Background. Visceral adiposity plays a key role in the development of insulin resistance (IR),
so surrogate index that can indicate visceral obesity may have higher predictive value for IR …
so surrogate index that can indicate visceral obesity may have higher predictive value for IR …
Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study
SF Tsai, CT Yang, WJ Liu, CL Lee - EClinicalMedicine, 2023 - thelancet.com
Background Insulin resistance (IR) is associated with diabetes mellitus, cardiovascular
disease (CV), and mortality. Few studies have used machine learning to predict IR in the …
disease (CV), and mortality. Few studies have used machine learning to predict IR in the …
Development and validation of an insulin resistance predicting model using a machine-learning approach in a population-based cohort in Korea
S Park, C Kim, X Wu - Diagnostics, 2022 - mdpi.com
Background: Insulin resistance is a common etiology of metabolic syndrome, but receiver
operating characteristic (ROC) curve analysis shows a weak association in Koreans. Using …
operating characteristic (ROC) curve analysis shows a weak association in Koreans. Using …
Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population …
H Zhang, T Zeng, J Zhang, J Zheng, J Min… - Frontiers in …, 2024 - frontiersin.org
Objective Insulin plays a central role in the regulation of energy and glucose homeostasis,
and insulin resistance (IR) is widely considered as the “common soil” of a cluster of …
and insulin resistance (IR) is widely considered as the “common soil” of a cluster of …
Construction of a personalized insulin resistance risk assessment tool in xinjiang kazakhs based on lipid-and obesity-related indices
L Yu, Y Li, R Ma, H Guo, X Zhang, Y Yan… - … and Healthcare Policy, 2022 - Taylor & Francis
Purpose This study aimed to explore the relationship between obesity-and lipid-related
indices and insulin resistance (IR) and construct a personalized IR risk model for Xinjiang …
indices and insulin resistance (IR) and construct a personalized IR risk model for Xinjiang …
Development and validation of a nomogram to predict type 2 diabetes mellitus in overweight and obese adults: a prospective cohort study from 82938 adults in China
Q Liu, J Yuan, M Bakeyi, J Li, Z Zhang… - International Journal …, 2020 - Wiley Online Library
Background. The twin epidemic of overweight/obesity and type 2 diabetes mellitus (T2DM) is
a major public health problem globally, especially in China. Overweight/obese adults …
a major public health problem globally, especially in China. Overweight/obese adults …
[HTML][HTML] Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches
Z Xing, H Chen, AC Alman - AIMS Public Health, 2024 - aimspress.com
The data was from the National Health and Nutrition Examination Survey (2007–2018). The
study subjects were 2084 nondiabetic women aged 45–64. The analysis included 48 …
study subjects were 2084 nondiabetic women aged 45–64. The analysis included 48 …
Surrogate indexes of insulin resistance and risk of metabolic syndrome in non-Hispanic White, non-Hispanic Black and Mexican American
IS Okosun, B Okosun, R Lyn, C Airhihenbuwa - Diabetes & Metabolic …, 2020 - Elsevier
Aim To compare the strength of associations between surrogate indexes of insulin
resistance (sIR) and risk of metabolic syndrome (MetS) in non-Hispanic White (NHW), non …
resistance (sIR) and risk of metabolic syndrome (MetS) in non-Hispanic White (NHW), non …
Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules
R Goel, A Misra, D Kondal, RM Pandey… - Clinical …, 2009 - Wiley Online Library
Objective Biochemical measures for assessment of insulin resistance are not cost‐effective
in resource‐constrained developing countries. Using classification and regression tree …
in resource‐constrained developing countries. Using classification and regression tree …
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