We describe two applications in which imputation of race and ethnicity can help mitigate potential algorithmic biases: equitable disease screening algorithms using machine learning and equitable pay-for-performance incentives.
A valid imputation method, such as Bayesian Improved Surname Geocoding, can be applied to standard data collected by public and private payers and provider entities. When race and ethnicity information is unavailable, which is often the case, imputing them can expand opportunities to not only identify and assess algorithmic bias but also combat it in both clinical and nonclinical settings. When race and ethnicity are observed, many methodological approaches can be used to enforce equitable algorithmic performance. Knowledge, not ignorance, of race and ethnicity is necessary to combat algorithmic bias. This item: Either/Or by Elliott Smith Audio CD 15.99 Elliott Smith by Elliott Smith Audio CD 15.99 Track Listings Editorial Reviews Product Description Heart sewn firmly to his sleeve, Elliott continues his tuneful dissection of life & what makes it difficult. However, we argue that this approach is misguided. I'm not that smart about such things, but I was wondering if anyone has ever made a font out of Elliott Smith's handwriting and, if so, if it is available to download I'm writing a short work about my longtime Elliott Smith obsession and I may or may not ever self-publish it, but if I did. An intuitive precaution against such bias is to remove race and ethnicity information as an input to health care algorithms, mimicking the idea of “race-blind” decisions. Is there an Elliott Smith font available to download. Despite the general utility of these health care algorithms, there is growing recognition that they may lead to unintended racially discriminatory practices, raising concerns about the potential for algorithmic bias. Algorithms are currently used to assist in a wide array of health care decisions.
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