Research published at ASCO 2020 shows that machine learning models trained with patient-reported data can predict onset and presence of immune-related adverse events
The cooperative research between Kaiku Health and Oulu University Hospital aimed to investigate whether patient-reported symptom data (Patient-Reported Outcomes) could be used as an input for machine learning-based prediction models for early detection of immune-related adverse events (irAEs). The research was published at ASCO Annual Meeting 2020 Online Publication on the 13th of May, 2020. The results suggest that machine learning-based prediction models, using patient-reported symptom data as input for the models, can predict the presence and onset of irAEs with high accuracy.
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