首页|New Machine Learning Study Findings Has Been Reported by a Researcher at Washing ton University (Network level enrichment provides a framework for biological int erpretation of machine learning results)
New Machine Learning Study Findings Has Been Reported by a Researcher at Washing ton University (Network level enrichment provides a framework for biological int erpretation of machine learning results)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news originating from Washington Un iversity by NewsRx correspondents, research stated, “Machine learning algorithms are increasingly being utilized to identify brain connectivity biomarkers linke d to behavioral and clinical outcomes.” Financial supporters for this research include National Institute of Biomedical Imaging And Bioengineering. The news journalists obtained a quote from the research from Washington Universi ty: “However, research often prioritizes prediction accuracy at the expense of b iological interpretability and inconsistent implementation of ML methods may hin der model accuracy. To address this, our paper introduces a network-level enrich ment approach, which integrates brain system organization in the context of conn ectome-wide statistical analysis to reveal network-level links between brain con nectivity and behavior. To demonstrate the efficacy of this approach, we used li near support vector regression (LSVR) models to examine the relationship between resting-state functional connectivity networks and chronological age. We compar ed network-level associations based on raw LSVR weights to those produced from t he forward and inverse models.”
Washington UniversityCyborgsEmerging TechnologiesMachine Learning
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