GTX Announces Completion of Phaser One of Wandering Predication Research

GTX (OTCP:GTXO), an IoT platform in the personal location wearable and wandering assistive technology business announced that George Madison University’s College of Health and Human Services completed phase one of wandering prediction trial, which started in the fall of 2016.
As quoted in the press release:

In collaboration with investigators from the Milken Institute School of Public Health at George Washington University, who have expertise in the economics of patient-centered mobile health technologies and predictive analytics, the University utilized the patented GPS SmartSole, GTX’s location based technology and data in order to study wandering habits in elderly people with Alzheimer’s and dementia.
The data scientists applied using advanced machine learning methods to calculate total time spent at different locations and thus were able to identify frequently visited locations at specific times of day and days of the week. Using only day of the week and time of the day, the researchers’ two-stage spatiotemporal clustering algorithm correctly predicted the users’ location 87% of the time.
“These findings open the possibility of automatically detecting anomalies in ambulation to identify potential wandering events,” said Janusz Wojtusiak, PhD, associate professor of health informatics at George Mason University.”

Click here to read the full press release.