When we work on complex prediction models with our inTrigue methodology, we are often asked to help clinicians and others to interpret these models by listing the patient features (attributes) which are used by the model to form its predictions.
The Case Study Problem
This case study derives from an ongoing Volv engagement, which started in July 2017. A pharmaceutical company approached Volv Global to develop a prediction model to identify additional patients suffering from the rare disease treatable by its specialist medicine.
In this series of conversations with Volv leaders, I have been talking with Dr Mike Tremblay, Volv’s Chief Scientific and Medical Officer, about what differentiates the company in terms of value delivery into markets for our customers. I hope that this is of interest to those of you working with difficult to diagnose diseases and rare diseases in your daily activities.
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