University of Toronto researchers invented machine learning algorithm that could classify patterns in children with arthritis and predict whether disease will get better or worse

February 27, 2019

  • Arthritis Analysis AI – University of Toronto researchers developed machine learning algorithm that can predict whether child will acquire more severe form of arthritis in future and take longer to heal than others
  • Pattern Classification – AI classifies child according to seven patterns, whether joint pain is in pelvic area, fingers, wrists, toes, knees, and ankles, while last group are for children that do not fit in single criteria
  • Findings – Patients in last group take longer to heal and severity of arthritis gets worse compared to others
  • Data Analysis – Analyzed clinical data from 640 children, collected between 2005 and 2010, which studied location of painful joints in body
  • Benefits – Include avoiding unnecessary and expensive treatments, as well as potential medication side effects for children expected to acquire milder arthritis

Image Source: EurekAlert!

Image Source: EurekAlert!

Sector: Healthcare/Health Sciences
Organization: University of Toronto

Original Publication Date: February 26, 2019

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