Machine Learning Methods Can Detect UTI in Dementia Patients - Renal and Urology News

Algorithms that combine Internet of Things (IoT) technologies and in-home sensory devices with machine learning techniques can be used to monitor the health and well-being of people with dementia, according to a study published online in PLOS ONE. Shirin Enshaeifar, PhD, from the University of Surrey in the United Kingdom, and colleagues introduced a systematic approach to provide more effective and preventive care for patients with dementia living at home. IoT technologies and in-home sensory devices were combined with machine learning techniques to monitor health and well-being. The researchers designed an algorithm to detect urinary tract infection (UTI), which represents one of the main causes of hospital admission in dementia patients. The algorithm was developed using a Non-negative Matrix Factorization technique, which extracted latent factors from raw observation and used them for clustering and identifying potential cases of UTI.