Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis
K De Silva, WK Lee, A Forbes, RT Demmer… - International journal of …, 2020 - Elsevier
Objective We aimed to identify machine learning (ML) models for type 2 diabetes (T2DM)
prediction in community settings and determine their predictive performance. Method …
prediction in community settings and determine their predictive performance. Method …
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
Diabetic Retinopathy (DR) is the most popular debilitating impairment of diabetes and it
progresses symptom-free until a sudden loss of vision occurs. Understanding the …
progresses symptom-free until a sudden loss of vision occurs. Understanding the …
Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes
The adoption of electronic health records in hospitals has ensured the availability of large
datasets that can be used to predict medical complications. The trajectories of patients in …
datasets that can be used to predict medical complications. The trajectories of patients in …
Individualised screening of diabetic foot: creation of a prediction model based on penalised regression and assessment of theoretical efficacy
I Štotl, R Blagus, V Urbančič-Rovan - Diabetologia, 2022 - Springer
Aims/hypothesis A large proportion of people with diabetes do not receive proper foot
screening due to insufficiencies in healthcare systems. Introducing an effective risk …
screening due to insufficiencies in healthcare systems. Introducing an effective risk …
Neuropathic complications: Type II diabetes mellitus and other risky parameters using machine learning algorithms
R Usharani, A Shanthini - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Abstract The World Health Organization (WHO) reported in 2016 that close to 422 million
adults live with diabetes. Diabetes is described as the United Kingdom's fastest-growing …
adults live with diabetes. Diabetes is described as the United Kingdom's fastest-growing …
Machine learning in healthcare strategic management: a systematic literature review
SM Salhout - Arab Gulf Journal of Scientific Research, 2023 - emerald.com
Purpose This study specifically seeks to investigate the strategic implementation of machine
learning (ML) algorithms and techniques in healthcare institutions to enhance innovation …
learning (ML) algorithms and techniques in healthcare institutions to enhance innovation …
Machine Learning–Driven Prediction of Comorbidities and Mortality in Adults With Type 1 Diabetes
JD Andersen, CW Stoltenberg… - Journal of Diabetes …, 2024 - journals.sagepub.com
Background: Comorbidities such as cardiovascular disease (CVD) and diabetic kidney
disease (DKD) are major burdens of type 1 diabetes (T1D). Predicting people at high risk of …
disease (DKD) are major burdens of type 1 diabetes (T1D). Predicting people at high risk of …
A literature review of quality assessment and applicability to HTA of risk prediction models of coronary heart disease in patients with diabetes
L Jiu, J Wang, FJ Somolinos-Simón… - Diabetes Research and …, 2024 - Elsevier
This literature review had two objectives: to identify models for predicting the risk of coronary
heart diseases in patients with diabetes (DM); and to assess model quality in terms of risk of …
heart diseases in patients with diabetes (DM); and to assess model quality in terms of risk of …
Prediction of micro vascular and macro vascular complications in type-2 diabetic patients using machine learning techniques
B Vamsi, A Al Bataineh… - International Journal of …, 2022 - search.proquest.com
A collection of metabolic conditions known as diabetes mellitus are defined by
hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of …
hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of …
Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review
Purpose Diabetes is a major public health challenge with widespread prevalence, often
leading to complications such as Diabetic Nephropathy (DN)—a chronic condition that …
leading to complications such as Diabetic Nephropathy (DN)—a chronic condition that …