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Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City.
Jaladanki SK, Vaid A, Sawant AS, Xu J, Shah K, Dellepiane S, Paranjpe I, Chan L, Kovatch P, Charney AW, Wang F, Glicksberg BS, Singh K, Nadkarni GN. Jaladanki SK, et al. Among authors: xu j. medRxiv [Preprint]. 2021 Jul 28:2021.07.25.21261105. doi: 10.1101/2021.07.25.21261105. medRxiv. 2021. PMID: 34341802 Free PMC article. Preprint.
Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER Initiative.
Zhang H, Zang C, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Zhang Y, Nordvig AS, Schenck EJ, Shenkman EA, Rothman RL, Block JP, Lyman K, Weiner M, Carton TW, Wang F, Kaushal R. Zhang H, et al. Among authors: xu z, xu j. medRxiv [Preprint]. 2022 Jun 8:2022.05.21.22275412. doi: 10.1101/2022.05.21.22275412. medRxiv. 2022. PMID: 35665007 Free PMC article. Preprint.
Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER Program.
Zhang Y, Hu H, Fokaidis V, Lewis C, Xu J, Zang C, Xu Z, Wang F, Koropsak M, Bian J, Hall J, Rothman RL, Shenkman EA, Wei WQ, Weiner MG, Carton TW, Kaushal R. Zhang Y, et al. Among authors: xu j, xu z. medRxiv [Preprint]. 2022 Oct 13:2022.10.13.22281010. doi: 10.1101/2022.10.13.22281010. medRxiv. 2022. Update in: Environ Adv. 2023 Apr;11:100352. doi: 10.1016/j.envadv.2023.100352 PMID: 36263067 Free PMC article. Updated. Preprint.
66,866 results
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