Supervised Machine Learning: Oncology Example

Issue:

A major pharmaceutical client sought to better identify drivers associated with early mortality and late survival among patients evaluated in a large multinational RCT of patients with esophageal cancer. 

Solution:

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CART Modeling: Oncology Example

Issue: A major pharmaceutical client sought to better understand distinct patient phenotypes that had a high likelihood of experiencing treatment initiation, treatment discontinuation, treatment switching

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Cluster Analysis: CV Example

Issue: A major pharmaceutical client sought to better understand the utilization of anti-hypertensive agents among patients with a diagnosis of hypertension with concomitant diabetes. The

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