Hilltop Researchers Publish Study on Predictive Model Bias

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HilltopBulletinHilltopResearchersPublishStudyonPredictiveModelBias.pdf (171.72 KB)

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https://www.hilltopinstitute.org/news-bulletins/bulletin-hilltop-researchers-publish-study-on-predictive-model-bias/

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http://hdl.handle.net/11603/37434

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2024-11-26

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articles
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The Hilltop Institute. "Hilltop Researchers Publish Study on Predictive Model Bias". November 26, 2024. https://www.hilltopinstitute.org/news-bulletins/bulletin-hilltop-researchers-publish-study-on-predictive-model-bias/.

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Abstract

In a new article in Health Services Research titled Evaluating a Predictive Model of Avoidable Hospital Events for Race- and Sex-Based Bias, Hilltop researchers Leigh Goetschius, Fei Han, Ruichen Sun, and Morgan Henderson—along with UMBC researcher Ian Stockwell—assessed a large, productionized predictive model of avoidable hospital (AH) events for bias based on patient race and sex.