New AI can detect urinary tract infections

phys.org | 1/16/2019 | Staff
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New AI developed at the University of Surrey could identify and help reduce one of the top causes of hospitalisation for people living with dementia: urinary tract infections (UTI).

UTI is an infection of any part of the urinary system, from the kidneys to the bladder. The symptoms include pain in the lower part of the stomach, blood in urine, needing to urinate suddenly or more often than usual and changes in mood and behaviour.

Paper - PLOS - ONE - Scientists - University

In a paper published in PLOS ONE, scientists from the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) detail how, in an NHS clinical trial, they used a technique called Non-negative Matrix Factorisation to find hidden clues of possible UTI cases. The team then used novel machine learning algorithms to identify early UTI symptoms.

The experiment was part of the TIHM (Technology Integrated Health Management) for dementia project, led by Surrey and Borders Partnership NHS Foundation Trust and in partnership with the University of Surrey and industry collaborators. The project, which is part of the NHS Test Beds Programme and is funded by NHS England the Office for Life Sciences, allowed clinicians to remotely monitor the health of people with dementia living at home, with the help of a network of internet enabled devices such as environmental and activity monitoring sensors, and vital body signal monitoring devices. Data streamed from these devices was analysed using machine learning solutions, and the identified health problems were flagged on a digital dashboard and followed up by a clinical monitoring team.

World - Health - Organisation - People - Number

According to The World Health Organisation, around 50 million people worldwide have dementia. This number is estimated to reach 82 million in 2030 and 152 million in 2050. According to the Alzheimer's Society, one in four hospital beds in the UK are occupied by a person with dementia, while...
(Excerpt) Read more at: phys.org
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