Astra Zeneca ML Ops - Insight into Patient sentiments

AstraZeneca analyzes anonymized patient data to gain insights including learning patient sentiments on specific treatments and feeding progression models on therapeutic areas such as chronic kidney disease, heart failure readmission, and cancer classification. AstraZeneca delivers those insights to commercial analysts, who in turn use them to improve business processes and drive awareness and uptake with healthcare systems. “We focus on targeting alignment and marketing, helping our commercial teams deliver the right information to healthcare providers to address patient needs,” says Cherry Cabading, global senior enterprise architect at AstraZeneca.

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