AIMC Topic: Glycated Hemoglobin
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Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Software testing of knowledge-based clinical decision support systems is challenging, labor intensive, and expensive; yet, testing is necessary since clinical applications have heightened consequences. Thoughtful test case selection improves testing ...
Prevalence of Diabetic Retinopathy and Associated Mortality Among Diabetic Adults With and Without Chronic Kidney Disease.
American journal of ophthalmology
Oct 25, 2018
PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with diabetes and with or without chronic kidney disease (CKD), and assess associated risk of mortality.
Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.
Journal of biomedical informatics
Sep 4, 2018
Accurate and reliable prediction of clinical progression over time has the potential to improve the outcomes of chronic disease. The classical approach to analyzing longitudinal data is to use (generalized) linear mixed-effect models (GLMM). However,...
Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach.
Acta psychiatrica Scandinavica
May 15, 2018
OBJECTIVE: Remitted bipolar disorder (BD) patients frequently present with chronic mood instability and emotional hyper-reactivity, associated with poor psychosocial functioning and low-grade inflammation. We investigated emotional hyper-reactivity a...
Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.
Epidemiology and health
Mar 10, 2018
OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model.
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks.
Artificial intelligence in medicine
Feb 23, 2018
Patients with type 2 diabetes mellitus are generally under continuous long-term medical treatment based on anti-diabetic drugs to achieve the desired glucose level. Thus, each patient is associated with a sequence of multiple records for prescription...
Characteristics Associated With Decreased or Increased Mortality Risk From Glycemic Therapy Among Patients With Type 2 Diabetes and High Cardiovascular Risk: Machine Learning Analysis of the ACCORD Trial.
Diabetes care
Dec 26, 2017
OBJECTIVE: Identifying patients who may experience decreased or increased mortality risk from intensive glycemic therapy for type 2 diabetes remains an important clinical challenge. We sought to identify characteristics of patients at high cardiovasc...
Resolution of type 2 diabetes after sleeve gastrectomy: a 2-step hypothesis.
Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
Dec 14, 2017
BACKGROUND: Weight loss (WL) and altered gut hormonal levels are involved in glucose homeostasis after laparoscopic sleeve gastrectomy (LSG).
l-Carnosine supplementation attenuated fasting glucose, triglycerides, advanced glycation end products, and tumor necrosis factor-α levels in patients with type 2 diabetes: a double-blind placebo-controlled randomized clinical trial.
Nutrition research (New York, N.Y.)
Nov 17, 2017
Considering the pathologic importance of metabolic disturbances, advanced glycation end products (AGEs), and chronic inflammation in diabetes mellitus and ameliorating potentials of l-carnosine in hampering these detritions and because these effects ...
Predictions of ocular changes caused by diabetes in glaucoma patients.
Computer methods and programs in biomedicine
Nov 15, 2017
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, having one or two hidden layers which were subsequently employed in the prediction of ocular changes progression in patients with diabetes associated ...
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