首页|Studies from Arctic University of Norway (UiT) Describe New Findings in Machine Learning ('Using network analysis modularity to group health code systems and de crease dimensionality in machine learning models')
Studies from Arctic University of Norway (UiT) Describe New Findings in Machine Learning ('Using network analysis modularity to group health code systems and de crease dimensionality in machine learning models')
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Tromso, Norway, by NewsRx co rrespondents, research stated, “Machine learning (ML) prediction models in healt hcare and pharmacy-related research face challenges with encoding high-dimension al Healthcare Coding Systems (HCSs) such as ICD, ATC, and DRG codes, given the t rade-off between reducing model dimensionality and minimizing information loss. To investigate using Network Analysis modularity as a method to group HCSs to im prove encoding in ML models.”
Arctic University of Norway (UiT)Troms oNorwayEuropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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