Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters' countries
K Tachkov, F Somolinos-Simón… - Biotechnology & …, 2024 - Taylor & Francis
This study aimed to investigate the transferability of novel artificial intelligence (AI) methods
for prediction modelling of diabetes based on real-world data (RWD) between early and late …
for prediction modelling of diabetes based on real-world data (RWD) between early and late …
[PDF][PDF] Prediction of glycaemic control and quality of life in type 2 diabetes using machine learning algorithms: The Maastricht Study
NCC Werkman, JTH Nielen… - Type 2 diabetes …, 2023 - apotheek.mumc.nl
Background Despite the heterogeneity of type 2 diabetes, all patients are treated according
to the same guideline. Some people have more difficulty reaching treatment goals in terms …
to the same guideline. Some people have more difficulty reaching treatment goals in terms …
[PDF][PDF] TYYPIN 2 DIABETES JA ESIDIABETES VARSINAIS-SUOMEN ALUEELLA
M Laine - utupub.fi
The aim of this retrospective, observational thesis was to study the implementation and costs
of treatment in type 2 diabetes and prediabetes in Southwest Finland between 2006 and …
of treatment in type 2 diabetes and prediabetes in Southwest Finland between 2006 and …
[PDF][PDF] Exploring Diabetes Subgrouping: Pharmacoeconomic Added Value and the Best Strategy
X Li, J Wang, J Altunkaya, FJ Somolinos-Simón… - 2019 - ispor.org
K-means2 Rule-based3 ADVANCE-based Latent class-based Page 1 Methods Data: 2,000
randomly selected newly diagnosed T2D from CPRD (UK Primary care data) Model: UKPDS …
randomly selected newly diagnosed T2D from CPRD (UK Primary care data) Model: UKPDS …