Toward big data analytics: review of predictive models in management of diabetes and its complications
SL Cichosz, MD Johansen… - Journal of diabetes …, 2016 - journals.sagepub.com
Diabetes is one of the top priorities in medical science and health care management, and an
abundance of data and information is available on these patients. Whether data stem from …
abundance of data and information is available on these patients. Whether data stem from …
Effect of diabetes mellitus type 2 on salivary glucose–a systematic review and meta-analysis of observational studies
P Mascarenhas, B Fatela, I Barahona - PloS one, 2014 - journals.plos.org
Background Early screening of type 2 diabetes mellitus (DM) is essential for improved
prognosis and effective delay of clinical complications. However, testing for high glycemia …
prognosis and effective delay of clinical complications. However, testing for high glycemia …
[HTML][HTML] Familial coaggregation of MASLD with hepatocellular carcinoma and adverse liver outcomes: Nationwide multigenerational cohort study
F Ebrahimi, H Hagström, J Sun, D Bergman… - Journal of …, 2023 - Elsevier
Background & Aims Metabolic dysfunction-associated steatotic liver disease (MASLD;
formerly NAFLD) is the fastest growing cause of hepatocellular carcinoma (HCC) worldwide …
formerly NAFLD) is the fastest growing cause of hepatocellular carcinoma (HCC) worldwide …
Prevalence of prediabetes, diabetes, and its associated risk factors among males in Saudi Arabia: a population‐based survey
KK Aldossari, A Aldiab, JM Al-Zahrani… - Journal of diabetes …, 2018 - Wiley Online Library
Objectives. The study aims at determining the prevalence of prediabetes and diabetes and
at ascertaining some concomitant risk factors among males in Saudi Arabia. Methods. A …
at ascertaining some concomitant risk factors among males in Saudi Arabia. Methods. A …
[PDF][PDF] VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data.
Due to the insufficiency of electronic health records (EHR) data utilized in practical diagnosis
prediction scenarios, most works are devoted to learning powerful patient representations …
prediction scenarios, most works are devoted to learning powerful patient representations …
Gold nano-flowers (Au NFs) modified screen-printed carbon electrode electrochemical biosensor for label-free and quantitative detection of glycated hemoglobin
X Wang, J Su, D Zeng, G Liu, L Liu, Y Xu, C Wang… - Talanta, 2019 - Elsevier
Glycated hemoglobin (HbA1c) represents the average glucose level over the past three
months and has been considered as the most important biomarker for the diagnosis of Type …
months and has been considered as the most important biomarker for the diagnosis of Type …
[PDF][PDF] Prevalence and predictors of undiagnosed diabetes mellitus in Indonesia
Aim: to find the prevalence and prediction factors of undiagnosed diabetes mellitus in an
Indonesian adult population. By recognizing the prediction factors, we can make …
Indonesian adult population. By recognizing the prediction factors, we can make …
Update of the German Diabetes Risk Score and external validation in the German MONICA/KORA study
K Mühlenbruch, T Ludwig, C Jeppesen… - Diabetes research and …, 2014 - Elsevier
Aims Several published diabetes prediction models include information about family history
of diabetes. The aim of this study was to extend the previously developed German Diabetes …
of diabetes. The aim of this study was to extend the previously developed German Diabetes …
The association of age, gender, ethnicity, family history, obesity and hypertension with type 2 diabetes mellitus in Trinidad
BS Nayak, A Sobrian, K Latiff, D Pope… - Diabetes & Metabolic …, 2014 - Elsevier
Aims To assess the impact of risk factors such as age, gender, ethnicity, family history, body
mass index (BMI), waist circumference and hypertension, on the development of type 2 …
mass index (BMI), waist circumference and hypertension, on the development of type 2 …
A hybrid intelligent system for diagnosing microalbuminuria in type 2 diabetes patients without having to measure urinary albumin
HR Marateb, M Mansourian, E Faghihimani… - Computers in biology …, 2014 - Elsevier
Microalbuminuria (MA) is an independent predictor of cardiovascular and renal disease,
development of overt nephropathy, and cardiovascular mortality in patients with type 2 …
development of overt nephropathy, and cardiovascular mortality in patients with type 2 …