AI Medical Compendium Topic:
Diabetes Mellitus

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Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.

Studies in health technology and informatics
The use of electronic health records for risk prediction models requires a sufficient quality of input data to ensure patient safety. The aim of our study was to evaluate the influence of incorrect administrative diabetes coding on the performance of...

In vivo noninvasive blood glucose detection using near-infrared spectrum based on the PSO-2ANN model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To improving the nursing level of diabetics, it is necessary to develop noninvasive blood glucose method.

[Effects of Electroacupuncture on Ultrastructure of Interstitial Cells of Cajal and Stem Cell Factor-kit Signal Pathway of Gastric Antrum in Diabetic Gastroparesis Rats].

Zhen ci yan jiu = Acupuncture research
OBJECTIVE: To observe the effects of electroacupuncture (EA) on gastrointestinal motility and the ultrastructure of interstitial cells of Cajal (ICC) and the expressions of c-kit receptor protein and stem cell factor (SCF) mRNA in diabetic gastropare...

Impact of metformin on serum prostate-specific antigen levels: Data from the national health and nutrition examination survey 2007 to 2008.

Medicine
PURPOSE: A possible association between metformin use and the development of prostate cancer (PCa) has been reported. However, there is limited information on the impact of long-term metformin use on serum prostate-specific antigen (PSA) levels. We i...

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.

Studies in health technology and informatics
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. This sequential nature of EHR data make them wellmatched for the power of Recurrent Neural Network (RNN). In this poster, we propose "D...

CD-KES: An Ontology Based Knowledge Education System for Patients with Chronic Diseases and Its Constructing Approach.

Studies in health technology and informatics
Patients' participation plays a crucial role in the management of chronic diseases. Educating patients about their diseases allows patients to self-regulate their daily health conditions more reasonably and effectively. This study focuses on an infor...

Prevalence and risk factors of chronic kidney disease in an african semi-urban area: Results from a cross-sectional survey in Gueoul, Senegal.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and incidence are difficult to assess. In Africa, few studies have been conducted on the prevalence of CKD. This study sought to describe the epidemiological ...

Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning.

IEEE journal of biomedical and health informatics
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing ...

DAPD: A Knowledgebase for Diabetes Associated Proteins.

IEEE/ACM transactions on computational biology and bioinformatics
Recent advancements in genomics and proteomics provide a solid foundation for understanding the pathogenesis of diabetes. Proteomics of diabetes associated pathways help to identify the most potent target for the management of diabetes. The relevant ...