Cargando…

Comparison of a chronic kidney disease predictive model for type 2 diabetes mellitus in Malaysia using Cox regression versus machine learning approach

BACKGROUND: Diabetes is one of the leading causes of chronic kidney disease (CKD) and end-stage renal disease. This study aims to develop and validate different risk predictive models for incident CKD and CKD progression in people with type 2 diabetes (T2D). METHODS: We reviewed a cohort of people w...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sim, Ruth, Chong, Chun Wie, Loganadan, Navin Kumar, Adam, Noor Lita, Hussein, Zanariah, Lee, Shaun Wen Huey
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972828/ https://www.ncbi.nlm.nih.gov/pubmed/36865020 http://dx.doi.org/10.1093/ckj/sfac252

Ejemplares similares

Impact of COVID-19 Lockdown on Glycemic, Weight, Blood Pressure Control and Medication Adherence in Patients with Type 2 Diabetes
por: Sim, Ruth, et al.
Publicado: (2023)

Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma
por: Xu, Lizhen, et al.
Publicado: (2023)

Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction
por: Goerdten, Jantje, et al.
Publicado: (2020)

Correction: Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma
por: Xu, Lizhen, et al.
Publicado: (2023)

Multiple imputation in Cox regression when there are time‐varying effects of covariates
por: Keogh, Ruth H., et al.
Publicado: (2018)

Cox regression can be collapsible and Aalen regression can be non-collapsible
por: Samuelsen, Sven Ove
Publicado: (2022)

Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials
por: Leblalta, Boutheina, et al.
Publicado: (2022)

Misspecification of Cox regression models with composite endpoints
por: Wu, Longyang, et al.
Publicado: (2012)

Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
por: Moncada-Torres, Arturo, et al.
Publicado: (2021)

Prevalence of latent tuberculosis among refugee children in Malaysia
por: Wong, Yen Jun, et al.
Publicado: (2020)

Sinusoidal Cox Regression—A Rare Cancer Example
por: Efird, Jimmy Thomas
Publicado: (2010)

Weighted Cox regression for the prediction of heterogeneous patient subgroups
por: Madjar, Katrin, et al.
Publicado: (2021)

Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression
por: Magga, Leandro, et al.
Publicado: (2022)

Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models
por: Wang, Meng, et al.
Publicado: (2022)

Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models
por: Zhang, Yi-Fan, et al.
Publicado: (2023)

Pan-genome and resistome analysis of extended-spectrum ß-lactamase-producing Escherichia coli: A multi-setting epidemiological surveillance study from Malaysia
por: Dwiyanto, Jacky, et al.
Publicado: (2022)

Understanding Landmarking and Its Relation with Time-Dependent Cox Regression
por: Putter, Hein, et al.
Publicado: (2016)

Methods to Analyze Time-to-Event Data: The Cox Regression Analysis
por: Abd ElHafeez, Samar, et al.
Publicado: (2021)

New prognostic models for extranodal natural killer T-cell lymphoma, nasal-type using Cox regression and machine learning
por: Sun, Jianbin, et al.
Publicado: (2021)

Metformin Treatment and Cancer Risk: Cox Regression Analysis, With Time-Dependent Covariates, of 320,000 Persons With Incident Diabetes Mellitus
por: Dankner, Rachel, et al.
Publicado: (2019)

COX-1, and not COX-2 activity, regulates airway function: relevance to aspirin-sensitive asthma
por: Harrington, Louise S., et al.
Publicado: (2008)

Factors Associated with Methadone Treatment Duration: A Cox Regression Analysis
por: Lin, Chao-Kuang, et al.
Publicado: (2015)

Image Based Data Mining Using Per-voxel Cox Regression
por: Green, Andrew, et al.
Publicado: (2020)

Survival Analysis, Kaplan-Meier Curves, and Cox Regression: Basic Concepts
por: Andrade, Chittaranjan
Publicado: (2023)

Cyclooxygenase (COX) Inhibitors and the Newborn Kidney
por: Smith, Francine G., et al.
Publicado: (2012)

Patient Preference and Satisfaction with the Use of Telemedicine for Glycemic Control in Patients with Type 2 Diabetes: A Review
por: Sim, Ruth, et al.
Publicado: (2021)

Molecular Characterization of Carbapenem Resistant Klebsiella pneumoniae in Malaysia Hospital
por: Lau, Min Yi, et al.
Publicado: (2021)

Association of Met420del Variant of Metformin Transporter Gene SLC22A1 with Metformin Treatment Response in Ethiopian Patients with Type 2 Diabetes
por: Degaga, Abraham, et al.
Publicado: (2023)

Which to select when evaluating risk factors for permanent stoma, COX regression model or logistic regression model?
por: Hu, Kang, et al.
Publicado: (2021)

Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression
por: Li, Juntao, et al.
Publicado: (2022)

Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database
por: Du, Mi, et al.
Publicado: (2020)

The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study
por: Mardhiah, Kamaruddin, et al.
Publicado: (2021)

Giant Parathyroid Adenoma versus Parathyroid Carcinoma: Differentiating Two Entities
por: Aziz, Hazwani, et al.
Publicado: (2021)

The economic burden of schizophrenia in Malaysia
por: Teoh, Siew Li, et al.
Publicado: (2017)

Box–Cox Transformation and Random Regression Models for Fecal egg Count Data
por: da Silva, Marcos Vinícius Gualberto Barbosa, et al.
Publicado: (2012)

Information criteria for Firth's penalized partial likelihood approach in Cox regression models
por: Nagashima, Kengo, et al.
Publicado: (2017)

Six genes involved in prognosis of hepatocellular carcinoma identified by Cox hazard regression
por: Dai, Qinghong, et al.
Publicado: (2021)

Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
por: Madjar, Katrin, et al.
Publicado: (2021)

Occurrence of virulent multidrug-resistant Enterococcus faecalis and Enterococcus faecium in the pigs, farmers and farm environments in Malaysia
por: Tan, Shiang Chiet, et al.
Publicado: (2018)

Impact of Box-Cox Transformation on Machine-Learning Algorithms
por: Blum, Luca, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_rhjj2v5rbclt61886ep99squ0v