Machine Learning with CMS Public Healthcare Dataset, Part II

Introduction to CMS OpenPayments Data Analysis using Machine Learning

In the previous blog we discussed the fundamental concept of what Machine Learning is and how it can be applied in the modern world of Pharmaceuticals and Healthcare, further to this we explored CMS Open Payments, the federal program that collects information about the payments drug and device companies make to their potential clients.

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Machine Learning with CMS Public Healthcare Dataset, Part I

Background

From the outset, the term “Machine Learning” can seem very daunting to those unfamiliar with the technicalities of what this actually means, or so it seemed to me when I was initially assigned to develop a use case for one of these algorithms during my time here at Rx Data Science.  From a quick study into the topic, Machine Learning (ML), put simply, is a branch of Artificial Intelligence (AI) that allows a system to automatically learn and improve itself without being explicitly instructed to, by using past and present data to predict certain outcomes [1].  The following video provides a gentle introduction into what ML is all about:

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