Machine learning, the process by which a machine learns from data on its own, is able to save lives in healthcare by going through mountains of patient data and comparing it to that of a single patient to detect symptoms and provide an early diagnosis. Dr. Saria’s Targeted Real-time Early Warning Score (TREWS) machine learning system is able to detect the symptoms of Sepsis, a potentially deadly condition, around 12 hours before physicians alone. Artificial Intelligence has the potential to save countless lives by searching through electronic medical records and determining how, when, and with what to treat patients.
ATHIKA Project no. 601106-EPP-1-2018-1-ES-EPPKA2-KA
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