AIMC Topic: Glycated Hemoglobin

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Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Journal of biomedical informatics
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
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...

Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks.

Artificial intelligence in medicine
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...

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
BACKGROUND: Weight loss (WL) and altered gut hormonal levels are involved in glucose homeostasis after laparoscopic sleeve gastrectomy (LSG).

Predictions of ocular changes caused by diabetes in glaucoma patients.

Computer methods and programs in biomedicine
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 ...

Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because existing evidence from randomized clinical trials do not address many important clinical questions. Data from Electronic Medical Records (EMRs) has been ...