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: Sarah Faulkner Tags: Diabetes Diagnostics Hospital Care mHealth (Mobile Health) Software / IT medialearlysign Source Type: news
More News: Diabetes | Electronic Health Records (EHR) | Endocrinology | Hospitals | Learning | Study | Universities & Medical Training | Urology & Nephrology