Hilltop Researchers Publish Study on Predictive Model Bias

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梐long with UMBC researcher Ian Stockwell梐ssessed a large, productionized predictive model of avoidable hospital (AH) events for bias based on patient race and sex.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2024-11-26
DOI
https://doi.org/10.13016/m2xhgq-zbph
Primary Topic
Diversity and Career in Medicine
Type
article
Field-Weighted Citation Impact
0.00
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article

Hilltop Researchers Publish Study on Predictive Model Bias

Maryland Shared Open Access Repository (USMAI Consortium)
Diversity and Career in Medicine
article

Hilltop Researchers Publish Study on Predictive Model Bias

article en

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梐long with UMBC researcher Ian Stockwell梐ssessed a large, productionized predictive model of avoidable hospital (AH) events for bias based on patient race and sex.

Maryland Shared Open Access Repository (USMAI Consortium)
Gender equality
Openalex Percentile: Top 44%
Diversity and Career in Medicine
DOIOpen Access PDFOpenAlex
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Hilltop Researchers Publish Study on Predictive Model Bias · Maryland Shared Open Access Repository (USMAI Consortium) (2024) | TGRS Research Map | TGRS