首页|Finnish Institute for Health and Welfare (THL) Reports Findings in Machine Learning (Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation)
Finnish Institute for Health and Welfare (THL) Reports Findings in Machine Learning (Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Helsinki, Finland, by NewsRx correspondents, research stated, “We experimentwith recent ensemble machine learning methods in estimating healthcare costs, utilizing Finnish datacontaining rich individual-level information on healthcare costs, socioeconomic status and diagnostic datafrom multiple registries. Our data are a random 10% sample (553,675 observations) from the Finnishpopulation in 2017.”
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