Skip to main content
November 6, 2017
Hitachi announces pharmacotherapy outcome prediction technology for drug selection support in type-2 diabetes mellitus
Hitachi today announced the development of a machine learning-based outcome prediction and comparison technology that predicts with high accuracy the success and failure of various medication options for patients with type-2 diabetes mellitus (T2DM), in collaboration with University of Utah Health.
The technology analyzes electronic medical records and creates a prediction model which calculates the probability of different medications attaining a target value for hemoglobin A1c (HbA1c) after 90 days of commencing treatment, thus potentially helping medical practitioners choose the most effective medication option. The high accuracy of the technology in predicting the effectiveness of various medications was confirmed using simulation on past records of patients with diabetes.