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PSI Conference 2018: Using Machine Learning and Real World Data to Tackle Complex Healthcare Challenges

05 June 2018


The increased volume and variety of healthcare data presents new opportunities for evidence generation and novel applications to address complex healthcare challenges. This presentation will discuss ways in which machine learning is increasingly being applied to find hard-to-find patients, such as undiagnosed patients with rare conditions. The presentation will illustrate the potential benefits of machine learning vs. classical statistical methods through case studies. Drawbacks to machine learning applications will also be highlighted, including a partial loss in transparency. The talk will describe factors behind the recent focus on artificial intelligence and comment on its potential role in patient-finding. 

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