首页|Duke-National University of Singapore Medical School Reports Findings in Machine Learning (FAIM: Fairness-aware interpretable modeling for trustworthy machine l earning in healthcare)
Duke-National University of Singapore Medical School Reports Findings in Machine Learning (FAIM: Fairness-aware interpretable modeling for trustworthy machine l earning in healthcare)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Singapore, Singapore, by NewsRx journalists, research stated, “The escalating integration ofmachine lea rning in high-stakes fields such as healthcare raises substantial concerns about model fairness.We propose an interpretable framework, fairness-aware interpret able modeling (FAIM), to improve modelfairness without compromising performance , featuring an interactive interface to identify a ‘fairer’ modelfrom a set of high-performing models and promoting the integration of data-driven evidence and clinicalexpertise to enhance contextualized fairness.”
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