#ANN ARBOR PROBABILITY RACE REGISTRATION#
I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as. The study was approved by the Institutional Review Board of the University of Michigan Medical School.Īll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived. The details of the IRB/oversight body that provided approval or exemption for the research described are given below: I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. MWS was supported by grant K01 HL136687 from the National Heart, Lung, and Blood Institute. MWS, JW, and BKN were supported by grant R01 LM013325-01 from the National Library of Medicine and by the Michigan Institute for Data Science. MYW was supported by grant K23 AG056638 from the National Institute on Aging. JPD was supported by grant K12-HL138039 from the National Heart, Lung, and Blood Institute. TSV was supported by grant K23 HL140165 from the National Heart, Lung, and Blood Institute. San Antonio, Texas, Eastern Virginia Medical School (FMM), Norfolk, Virginia, University of Michigan (TMM), Ann Arbor, Michigan, and Beth Israel Deaconess. The majority of the donors who contributed the maximum (1,050) to Akmon’s campaign live in Ward 3. The authors have declared no competing interest. The majority of Dharma Akmon’s campaign funds have come from carpetbaggers, individuals who either can’t vote in Ann Arbor, or can’t vote in the Ward 4 Ann Arbor City Council race. These findings highlight the importance of independent evaluation of proprietary models before widespread operational use among COVID-19 patients. We did not find evidence of bias by race or sex.
Conclusion We found the EDI identifies small subsets of high- and low-risk COVID-19 patients with fair discrimination.
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