Cargando…

Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes

Purpose: The objective of this study was to evaluate the efficacy of machine learning algorithms in predicting risks of complications and poor glycemic control in nonadherent type 2 diabetes (T2D). Materials and Methods: This study was a real-world study of the complications and blood glucose progno...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fan, Yuting, Long, Enwu, Cai, Lulu, Cao, Qiyuan, Wu, Xingwei, Tong, Rongsheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Pharmacology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258097/ https://www.ncbi.nlm.nih.gov/pubmed/34239440 http://dx.doi.org/10.3389/fphar.2021.665951

Ejemplares similares

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease
por: Xingwei, Wu, et al.
Publicado: (2022)

Metabolic dysfunction-associated steatotic liver disease: ferroptosis related mechanisms and potential drugs
por: Zhu, Baoqiang, et al.
Publicado: (2023)

Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms
por: Tao, Xue, et al.
Publicado: (2023)

Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning
por: Lee, Sharen, et al.
Publicado: (2021)

Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics
por: Li, Mengting, et al.
Publicado: (2022)

The Effect of Glycemic Control on Endothelial and Cardiac Dysfunction Induced by Red Blood Cells in Type 2 Diabetes
por: Mahdi, Ali, et al.
Publicado: (2019)

Development and economic assessment of machine learning models to predict glycosylated hemoglobin in type 2 diabetes
por: Tong, Yi-Tong, et al.
Publicado: (2023)

Factors that Correlate with Poor Glycemic Control in Type 2 Diabetes Mellitus Patients with Complications
por: Haghighatpanah, Mohammad, et al.
Publicado: (2018)

The role of illness perceptions on medication nonadherence among patients with hypertension: A multicenter study in indonesia
por: Alfian, Sofa D., et al.
Publicado: (2022)

Nonadherence in diabetes care among US adults with diabetes by stroke status
por: Tran, Phoebe, et al.
Publicado: (2021)

Depression and Diabetes Treatment Nonadherence: A Meta-Analysis
por: Gonzalez, Jeffrey S., et al.
Publicado: (2008)

Adjuvant Therapy With Mushroom Polysaccharides for Diabetic Complications
por: Jiang, Xue, et al.
Publicado: (2020)

RAGE signaling regulates the progression of diabetic complications
por: Taguchi, Kensei, et al.
Publicado: (2023)

Identification of Immunosuppressive Medication Nonadherence Factors Through a Combined Theory Model in Renal Transplant Recipients: 6–12
por: Zhang, Pengpeng, et al.
Publicado: (2021)

Cost-Related Medication Nonadherence (CRN) on Healthcare Utilization and Patient-Reported Outcomes: Considerations in Managing Medicare Beneficiaries on Antidepressants
por: Alnijadi, Abdulrahman A., et al.
Publicado: (2021)

Impact of Cost-Related Medication Nonadherence on Economic Burdens, Productivity Loss, and Functional Abilities: Management of Cancer Survivors in Medicare
por: Lu, Z. Kevin, et al.
Publicado: (2021)

Relaxin as a Therapeutic Target for the Cardiovascular Complications of Diabetes
por: Ng, Hooi Hooi, et al.
Publicado: (2018)

Molecular Mechanism of Puerarin Against Diabetes and its Complications
por: Bai, Yi-ling, et al.
Publicado: (2022)

Editorial: Translational Approaches for Targeting Cardiovascular Complications of Diabetes
por: Sharma, Arpeeta, et al.
Publicado: (2021)

Determinants of Primary Nonadherence to Medications Prescribed by General Practitioners Among Adults in Hungary: Cross-Sectional Evaluation of Health Insurance Data
por: Harsha, Nouh, et al.
Publicado: (2019)

Effect of Intensive Glycemic and Blood Pressure Control on QT Prolongation in Diabetes: The ACCORD Trial
por: Singleton, Matthew J., et al.
Publicado: (2020)

The critical role of dysregulated autophagy in the progression of diabetic kidney disease
por: Zhang, Ziwei, et al.
Publicado: (2022)

Identifying older diabetic patients at risk of poor glycemic control
por: Incalzi, Raffaele Antonelli, et al.
Publicado: (2002)

Predictors of poor glycemic control and level of glycemic control among diabetic patients in west Ethiopia
por: Dedefo, Mohammed Gebre, et al.
Publicado: (2020)

Endothelial Dysfunction and Platelet Hyperactivation in Diabetic Complications Induced by Glycemic Variability
por: Huang, Ye, et al.
Publicado: (2022)

Applying Machine Learning Models to Predict Medication Nonadherence in Crohn’s Disease Maintenance Therapy
por: Wang, Lei, et al.
Publicado: (2020)

Age differences in diabetes-related complications and glycemic control
por: Shamshirgaran, S. M., et al.
Publicado: (2017)

The Role of miR-181c in Mechanisms of Diabetes-Impaired Angiogenesis: An Emerging Therapeutic Target for Diabetic Vascular Complications
por: Solly, Emma L., et al.
Publicado: (2021)

NF-κβ: A Potential Target in the Management of Vascular Complications of Diabetes
por: Suryavanshi, Sachin V., et al.
Publicado: (2017)

IL-1β Inhibition in Cardiovascular Complications Associated to Diabetes Mellitus
por: Peiró, Concepción, et al.
Publicado: (2017)

Editorial: Pharmacoepidemiology in Diabetes Mellitus and its Complications: Focus on Response to Medications
por: Mohammadi Jouabadi, Soroush, et al.
Publicado: (2022)

Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies
por: Lee, Shaun W. H., et al.
Publicado: (2017)

Glycemic Control, Complications, and Death in Older Diabetic Patients: The Diabetes and Aging Study
por: Huang, Elbert S., et al.
Publicado: (2011)

Garlic and Resveratrol Attenuate Diabetic Complications, Loss of β-Cells, Pancreatic and Hepatic Oxidative Stress in Streptozotocin-Induced Diabetic Rats
por: Kaur, Gagandeep, et al.
Publicado: (2016)

Testosterone Deficiency Associated with Poor Glycemic Control in Korean Male Diabetics
por: Kim, Joo-Sung, et al.
Publicado: (2014)

Lipid Biomarkers as Predictors of Diastolic Dysfunction in Diabetes with Poor Glycemic Control
por: Khedr, Dina, et al.
Publicado: (2020)

Monitoring of Diabetic Patients with Poor Glycemic Control. Are International Recommendations Met?
por: Delgado, José Antonio, et al.
Publicado: (2021)

Dolichos biflorus Linn. ameliorates diabetic complications in streptozotocin induced diabetic rats
por: Saxena, Yogesh, et al.
Publicado: (2014)

Roles of Endovascular Calyx Related Enzymes in Endothelial Dysfunction and Diabetic Vascular Complications
por: Li, Zhi, et al.
Publicado: (2020)

Roxadustat, a HIF-PHD inhibitor with exploitable potential on diabetes-related complications
por: Fang, Tingting, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_7b0hmdrqeg8j7c1k1vm8inebbv