scholarly journals Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms

2019 ◽  
Vol 21 (12) ◽  
pp. 2704-2711 ◽  
Author(s):  
Sunil B. Nagaraj ◽  
Grigory Sidorenkov ◽  
Job F. M. Boven ◽  
Petra Denig
Keyword(s):  
Diabetes Mellitus ◽  
Machine Learning ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycated Haemoglobin ◽  
Machine Learning Algorithms ◽  
Insulin Initiation ◽  
Short And Long Term

scholarly journals Risk Factors For Gestational Diabetes – An Update

2015 ◽  
Vol 22 (2) ◽  
pp. 201-207 ◽  
Author(s):  
Carmen Dobjanschi ◽  
Rucsandra Dănciulescu Miulescu
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Treatment Modalities ◽  
Substantial Impact ◽  
Short And Long Term

AbstractWomen with gestational diabetes mellitus (GDM) have an increased lifetime risk of developing type 2 diabetes mellitus (T2DM). GDM has a substantial impact on maternal and foetal short and long-term health. Risk factors for GDM may be genetic or nongenetic and have been analysed in numerous studies. Researches in recent years allowed the identification of other risk factors for GDM except for those already known. Knowledge and identification of all risk factors for GDM allows the elaboration of a prevention strategy of T2DM, it may influence the screening, diagnosis, and, subsequently, treatment modalities for this disease.

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