Development of a novel machine learning model based on laboratory and imaging indices to predict acute cardiac injury in cancer patients with COVID-19 infection: a retrospective observational study
Author:
Funder
Jilin Province Health Technology Innovation Project of China
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-023-05417-3.pdf
Reference42 articles.
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2. Ahmad F, Kannan M, Ansari AW (2022) Role of SARS-CoV-2-induced cytokines and growth factors in coagulopathy and thromboembolism. Cytokine Growth Factor Rev 63:58–68. https://doi.org/10.1016/j.cytogfr.2021.10.007
3. Ammirati E, Lupi L, Palazzini M, Hendren NS (2022) Prevalence, characteristics, and outcomes of Covid-19-associated acute myocarditis. Circulation 145(15):1123–1139. https://doi.org/10.1161/CIRCULATIONAHA.121.056817
4. Asteris PG, Kokoris S, Gavriilaki E, Tsoukalas MZ, Houpas P, Paneta M, Koutzas A, Argyropoulos T, Alkayem NF, Armaghani DJ, Bardhan A, Cavaleri L, Cao M, Mansouri I, Mohammed AS, Samui P, Gerber G, Boumpas DT, Tsantes A, Terpos E, Dimopoulos MA et al (2023) Early prediction of Covid-19 outcome using artificial intelligence techniques and only five laboratory indices. Clin Immunol 246:109218. https://doi.org/10.1016/j.clim.2022.109218
5. Bouchareb Y, Moradi Khaniabadi P, Al Kindi F, Al Dhuhli H, Shiri I, Zaidi H, Rahmim A (2021) Artificial intelligence-driven assessment of radiological images for Covid-19. Comput Biol Med 136:104665. https://doi.org/10.1016/j.compbiomed.2021.104665
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