A team of researchers has developed a new artificial intelligence that can detect IVU in individuals with dementia. They believe it could help reduce one of the main causes of hospitalization for dementia patients: UTI (urinary tract infection).
Researchers from the University of Surrey and the Surrey and Borders Partnership NHS Foundation Trust wrote about their work in the journal PLOS ONE (citation below). The authors were Shirin Enshaeifar, Ahmed Zoha, Severin Skillman, Andreas Markides, Sahr Thomas Acton, Tarek Elsaleh, Mark Kenny, Helen Rostill, Ramin Nilforooshan and Payam Barnaghi.
Researchers at the University of Surrey work at the Center for Vision, Speech and Signal Processing (CVSSP).
Urinary tract infection
Urinary tract infection (UTI) is an infection in any part of the patient's urinary system. In other words, an infection in the kidneys, in the ureters, in the bladder and in the urethra.
Symptoms include a burning sensation during urination, a strong and persistent urge to urinate and urinate often (small amounts). The urine can also be cloudy, odorous and red / pink or cola colored (blood marks).
The authors explain how, in a clinical study of the NHS, they used non-negative Matrix Factor to find hidden clues for possible cases of urinary tract infection. They then used new machine learning algorithms to identify the first symptoms of UTI.
Part of the TIHM dementia project
The experiment was part of the TIHM dementia project. TIHM stands for Technology Integrated Health Management. The project allowed doctors to remotely monitor the health of people with dementia (who live at home).
Monitoring was possible thanks to a network of enabled devices, including vital signal monitoring devices and environmental and activity monitoring sensors.
The machine learning solutions have analyzed the data transmitted by these devices. All identified health problems have been reported on a digital dashboard. A clinical monitoring team then responded.
Growing number of people living with dementia
The World Health Organization states that about 50 million people suffer from dementia globally. This number is expected to reach 82 million and 152 million respectively in 2030 and 2050.
People with dementia in the UK occupy one in four hospital beds. According to the Alzheimer & # 39; s Society, 22% of these hospital admissions are considered preventable.
Comments from team members
Co-author, Payam Barnaghi, professor of Machine Intelligence at CVSSP, said:
"Urinary tract infections are one of the most common reasons why people living with dementia go to the hospital."
"We have developed a tool that is able to identify the risk of urinary tract infections so it is possible to treat them early, and we are confident that our algorithm will be a valuable tool for healthcare professionals, enabling them to produce more effective plans and personalized for patients ".
Co-author, Dr. Shirin Enshaeifar, Senior Research Fellow at CVSSP and Technical Deputy Chief for TIHM Project, said:
"I am pleased to see that the algorithms we have designed have an impact on improving the health care of people with dementia and provide a tool for doctors to offer better support to their patients."
Regarding machine learning, Professor Adrian Hilton, director of CVSSP, said:
"This development suggests the incredible potential of Professor Barnaghi's research here at CVSSP." Machine learning could provide better care for people with dementia to stay home, reduce hospitalization and help service. national health system to free up space on the bed ".
An Internet of Things that uses machine learning
The authors said they are aiming to create a Internet of things LED system that uses automatic learning. The system would alert physicians to potential health problems. The doctors could therefore intervene early and treat the patient.
The Internet of Things (IoT) is a system of devices, people, machines, objects, animals, etc. Interconnected that communicate with each other. Your car, for example, communicates directly with your home. Your home communicates with dozens of different devices inside and outside.
In addition to reducing the pressure on the NHS, the system would improve the lives of people with dementia. Even their carers (USA: caregivers) would benefit significantly.
Co-author, Professor Helen Rostill, Director of Innovation and Development at the Surrey and Borders Partnership NHS Foundation Trust, said:
"The TIHM study for dementia is a collaborative project that brought together the NHS, academia and industry to transform support for people with dementia living at home and their carers."
Artificial intelligence or artificial intelligence refers to software that can make robots think like robots to humans. It also makes them behave like humans.
AI contrasts with our natural intelligence. Some experts say it is artificial intelligence only when it behaves at least as good as a human. & # 39; Back & # 39; refers to the ability, speed and human computational accuracy.
"Methods of machine learning for the detection of urinary tract infections and the analysis of daily activities in people with dementia" Shirin Enshaeifar, Ahmed Zoha, Severin Skillman, Andreas Markides, Sahr Thomas Acton, Tarek Elsaleh, Mark Kenny, Helen Rostill, Ramin Nilforooshan and Payam Barnaghi. PLOS ONE 14 (1): e0209909. DOI: https://doi.org/10.1371/journal.pone.0209909.