Machine-learning model helps detect diabetic patients at risk for kidney damage

In this study, the company reported that the algorithm identified 45% of patients who experienced significant kidney damage within one year – 25% more patients than commonly-used clinical tools would have detected, according to Medial EarlySign. Get the full story at our sister site, Drug Delivery Business News. The post Machine-learning model helps detect diabetic patients at risk for kidney damage appeared first on MassDevice.
Source: Mass Device - Category: Medical Devices Authors: Tags: Diabetes Diagnostics Hospital Care mHealth (Mobile Health) Software / IT medialearlysign Source Type: news

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NEW YORK (CBSNewYork) – Gluten intolerance is a sensitivity to a family of proteins found in grains like wheat, rye and barley. It can cause symptoms that include bloating, abdominal pain, diarrhea and constipation. It now seems that gluten can affect more than just the person who eats it, reports Dr. Max Gomez. Danish scientists, after analyzing data from thousands of pregnant women, say a high gluten diet may put offspring at higher risk for type 1 diabetes. Doctors say children of women with the highest intake of wheat, rye, and barley proteins had double the diabetes risk. ...
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Providing data for clinicians to help individualize diabetes treatment is one aim of the European Association for the Study of Diabetes (EASD) 2018 Annual Meeting.Medscape Medical News
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This study aimed to identify the risk factors associated with complications and/or graft failure in kidney transplant patients with sepsis. A total of 14,658 kidney transplant patients with sepsis, identified in the National Inpatient Sample (NIS) database (data from 2005-2014), were included in the study and classified into three groups: patients without complications or graft failure/dialysis (Group 1), patients with complications only (Group 2), and patients with complications and graft failure/dialysis (Group 3). Multinomial logistic regression analyses were conducted to evaluate factors associated with kidney transpla...
Source: Bosnian Journal of Basic Medical Sciences - Category: General Medicine Tags: Bosn J Basic Med Sci Source Type: research
(Natural News) Being exposed to arsenic over a prolonged period of time can increase the likelihood of diabetes, according to a paper published in the American Journal of Physiology – Regulatory, Integrative and Comparative Physiology. Researchers from the University of Chicago, University of Albany, Kobe University Graduate School of Medicine and the University of Illinois at Chicago used...
Source: NaturalNews.com - Category: Consumer Health News Source Type: news
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