Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks

There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease‐19 (COVID‐19). We aimed to a) identify complement‐related genetic variants associated with the clinical outcomes of ICU hospitalization and death, b) develop an artificial neural network (ANN) pre...

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Detalles Bibliográficos
Autores principales: Asteris, Panagiotis G., Gavriilaki, Eleni, Touloumenidou, Tasoula, Koravou, Evaggelia‐Evdoxia, Koutra, Maria, Papayanni, Penelope Georgia, Pouleres, Alexandros, Karali, Vassiliki, Lemonis, Minas E., Mamou, Anna, Skentou, Athanasia D., Papalexandri, Apostolia, Varelas, Christos, Chatzopoulou, Fani, Chatzidimitriou, Maria, Chatzidimitriou, Dimitrios, Veleni, Anastasia, Rapti, Evdoxia, Kioumis, Ioannis, Kaimakamis, Evaggelos, Bitzani, Milly, Boumpas, Dimitrios, Tsantes, Argyris, Sotiropoulos, Damianos, Papadopoulou, Anastasia, Kalantzis, Ioannis G., Vallianatou, Lydia A., Armaghani, Danial J., Cavaleri, Liborio, Gandomi, Amir H., Hajihassani, Mohsen, Hasanipanah, Mahdi, Koopialipoor, Mohammadreza, Lourenço, Paulo B., Samui, Pijush, Zhou, Jian, Sakellari, Ioanna, Valsami, Serena, Politou, Marianna, Kokoris, Styliani, Anagnostopoulos, Achilles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899198/
https://www.ncbi.nlm.nih.gov/pubmed/35064759
http://dx.doi.org/10.1111/jcmm.17098

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