Construction of risk prediction model of type 2 diabetes mellitus based on logistic regression

Construction of risk prediction model of type 2 diabetes mellitus based on logistic regression

Objective: to construct multi factor prediction model for the individual risk of T2DM, and to explore new ideas for early warning, prevention and personalized health services for T2DM. Methods: using logistic regression techniques to screen the risk factors for T2DM and construct the risk prediction...

Full description

Bibliographic Details
Main Authors:	Li Jian, Huang Qin, Dong Minghua, Qiu Wei, Jiang Lixia, Luo Xiaoting, Huang Zhengchun, Chen Shuiqin, Wu Qinfeng, Ou-Yang Lu, Wu Qin, Liu Lihua, Li Shumei
Format:	Article
Language:	English
Published:	EDP Sciences 2017-01-01
Series:	BIO Web of Conferences
Online Access:	http://dx.doi.org/10.1051/bioconf/20170802002

Similar Items

The clinical value of HbA1c in combination with FPG in the early screening of the elderly with type 2 diabetes
by: Liu Lihua, et al.
Published: (2017-01-01)

Meta-Analysis of the association of IGF2BP2 gene rs4402960 polymorphisms with T2DM in Asia
by: Huang Zhengchun, et al.
Published: (2017-01-01)

Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
by: Chiaka, Emenyonu Sandra
Published: (2016)

Maximal Uncorrelated Multinomial Logistic Regression
by: Dajiang Lei, et al.
Published: (2019-01-01)

Prediction of type 2 diabetes mellitus onset using logistic regression-based scorecards
by: Yochai Edlitz, et al.
Published: (2022-06-01)

Combining proteomic markers to construct a logistic regression model for polycystic ovary syndrome
by: Cheng Tong, et al.
Published: (2023-10-01)

Distributed Parallel Sparse Multinomial Logistic Regression
by: Dajiang Lei, et al.
Published: (2019-01-01)

Screening marker genes of type 2 diabetes mellitus in mouse lacrimal gland by LASSO regression
by: Xiaoting Pei, et al.
Published: (2023-04-01)

The Comparison between Ordinal Logistic Regression and Random Forest Ordinal in Identifying the Factors Causing Diabetes Mellitus
by: Assyifa Lala Pratiwi Hamid, et al.
Published: (2023-08-01)

A multilevel logistic regression model for identifying the relevance of environmental risk factors on Gestational Diabetes Mellitus
by: Carolina Gonzalez-Canas, et al.
Published: (2023-11-01)

Applied Logistic Regression /
by: 348698 Hosmer, David W., et al.
Published: (2013)

Logistic regression models /
by: 290126 Hilbe, Joseph M.
Published: (2009)

Comparison of ordinary logistic regression and robust logistic regression models in modeling of pre-diabetes risk factors
by: Fateme Azizi Mayvan, et al.
Published: (2018-10-01)

Logistic regression applied to natural hazards: rare event logistic regression with replications
by: M. Guns, et al.
Published: (2012-06-01)

Diagnostic profiles of acute abdominal pain with multinomial logistic regression
by: Ohmann, Christian, et al.
Published: (2007-07-01)

Multivariable Logistic Regression And Back Propagation Artificial Neural Network To Predict Diabetic Retinopathy
by: Yao L, et al.
Published: (2019-09-01)

Construction of an Analysis Model of mRNA Markers in Menstrual Blood Based on Naïve Bayes and Multivariate Logistic Regression Methods
by: Qi ZHANG, He-miao ZHAO, Kang YANG, Jing CHEN, Rui-qin YANG, Chong WANG
Published: (2023-10-01)

Construction of predictive model for osteoporosis related factors among postmenopausal women on the basis of logistic regression and Bayesian network
by: Yanqian Wu, et al.
Published: (2023-10-01)

Logistic regression in predicting bankruptcy /
by: 491988 Nur Hafizah Mazlan, et al.
Published: (2010)

Uncertain logistic regression models
by: Jinling Gao, et al.
Published: (2024-03-01)

Practical Guide to Logistic Regression
by: Ulrike Grömping
Published: (2016-07-01)

Endogeneity in Logistic Regression Models
by: George Avery, et al.
Published: (2005-03-01)

A three-parameter logistic regression model
by: Xiaoli Yu, et al.
Published: (2021-07-01)

Efficiency of the Principal Component Liu-Type Estimator in Logistic Regression
by: Jibo Wu, et al.
Published: (2020-08-01)

On comparison between logistic regression and geographically weighted logistic regression: with application to Indonesian poverty data
by: Saefuddin, Asep, et al.
Published: (2012)

Supporting Regularized Logistic Regression Privately and Efficiently.
by: Wenfa Li, et al.
Published: (2016-01-01)

Using Low-Rank Approximations to Speed Up Kernel Logistic Regression Algorithm
by: Dajiang Lei, et al.
Published: (2019-01-01)

A diagnostic scoring model of ENKTCL in the nose-Waldeyer’s ring based on logistic regression: Differential diagnosis from DLBCL
by: Jun-Yi Xiang, et al.
Published: (2023-02-01)

Drivers’ hazard perception analysis based on logistic regression and Cochran–Mantel–Haenszel test
by: Haoran Li, et al.
Published: (2016-09-01)

Prediction of diabetes using logistic regression and ensemble techniques
by: Priyanka Rajendra, et al.
Published: (2021-01-01)

Application of principal component analysis and logistic regression model in lupus nephritis patients with clinical hypothyroidism
by: Ting Huang, et al.
Published: (2020-05-01)

Study and Application on Risk Assessment Method of Coal Worker Pneumoconiosis Based on Logistic Regression Model
by: Qian Zhang, et al.
Published: (2018-09-01)

A Binary Classification Study of Alzheimer’s Disease Based on a Novel Subclass Weighted Logistic Regression Method
by: Jinhua Sheng, et al.
Published: (2022-01-01)

Obesity and erectile dysfunction among type 2 diabetes mellitus patients: Applications of binary, ordinal, and polytomous logistic regression models
by: Anil Chankaramangalam Mathew, et al.
Published: (2022-01-01)

Prediction of glycaemic control in young children and adolescents with type 1 diabetes mellitus using mixed-effects logistic regression modelling.
by: Michiel Joost van Esdonk, et al.
Published: (2017-01-01)

Multi-category diagnostic accuracy based on logistic regression
by: Jialiang Li, et al.
Published: (2017-07-01)

Semi-Parallel logistic regression for GWAS on encrypted data
by: Miran Kim, et al.
Published: (2020-07-01)

On group comparisons with logistic regression models
by: Kuha, J, et al.
Published: (2018)

Logistic regression analysis in Bronchopulmonary Dysplasia /
by: 238494 Kavitha Samannamuthaliar
Published: (2008)

Robust Diagnostics In Logistic Regression Model
by: Ariffin @ Mat Zin, Syaiba Balqish
Published: (2010)