ISPOR Task Force Indicates Five Areas Machine Learning Could Support Health Economics and Outcomes Research

July 28th, 2022|Categories: Featured, Industry News|Tags: , |

Earlier this month, ISPOR released a report in the journal Value in Health detailing good practices in using machine learning for health economics and outcomes research (HEOR). According to the lead authors, machine learning can enable deep analysis of complex datasets, identifying trends that may otherwise go unnoticed. To enable the best possible use of the technology in HEOR, they identified these key areas that could benefit the field. 

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