Results 131 to 140 of about 55,807 (330)
Development of deep learning algorithms to categorize free-text notes pertaining to diabetes: convolution neural networks achieve higher accuracy than support vector machines [PDF]
arXiv, 2018 Health professionals can use natural language processing (NLP) technologies when reviewing electronic health records (EHR). Machine learning free-text classifiers can help them identify problems and make critical decisions. We aim to develop deep learning neural network algorithms that identify EHR progress notes pertaining to diabetes and validate the
arxiv
Smartphone-Based Test and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes [PDF]
arXiv, 2020 Among the most impactful diabetic complications are diabetic retinopathy, the leading cause of blindness among working class adults, and cardiovascular disease, the leading cause of death worldwide. This study describes the development of improved machine learning based screening of these conditions.
arxiv
An epidemiological study of diabetes mellitus in dogs attending first opinion practice in the UK [PDF]
, 2014 This study aimed to estimate the prevalence of canine diabetes mellitus (DM) in primary-care clinics in England, to identify risk factors associated with DM and to describe the survival of affected dogs.
Brodbelt, D C +6 more
core +1 more source
Behavior of diabetic ketoacidosis in an Intensive Care Unit
Universidad Médica Pinareña, 2020 Introduction: diabetes mellitus is a health problem, having an impact on all systems and which can trigger episodes of diabetic ketoacidosis. Objective: to characterize clinically and epidemiologically the patients with diabetic ketoacidosis admitted to
Yannky Palenzuela-Ramos +4 more
doaj +2 more sources
, 2018 Diabetic ketoacidosis (DKA) is a major complication of diabetes mellitus (DM) and often the initial admitting diagnosis in type I diabetes diagnosis (Sharma, Kumar & Yadav, 2017). The purpose of this poster is to discuss the pathophysiology, risk factors,
Mosely, Brandon L
core +1 more source
Diabetic Medicine, EarlyView.Abstract Aim A current gap in Diabetes‐related ketoacidosis (DKA) research is understanding the factors contributing to variations in care and outcomes between people admitted with DKA. We aimed to create a system to facilitate gathering data on DKA management across multiple centres and identify trends in complications and outcomes associated with DKA.
Lakshmi N. Rengarajan +32 more
wiley +1 more source
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading [PDF]
arXiv, 2019 Diabetes is a globally prevalent disease that can cause visible microvascular complications such as diabetic retinopathy and macular edema in the human eye retina, the images of which are today used for manual disease screening. This labor-intensive task could greatly benefit from automatic detection using deep learning technique.
arxiv
Diabetic Coma Without Ketoacidosis in a Patient With Acute Pancreatitis [PDF]
, 1964 Alexander Davidson
openalex +1 more source