We have processed more than 4 billion Electronic Medical Records from more than 200 hospitals and other healthcare providers in 13 countries, including the processing of the free text with our own Machine Learning and Natural Language Processing models and algorithms, and translated all these clinical data to different vocabularies such as Snomed CT, ATC, LOINC, etc.
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