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10.1016/j.procs.2021.12.023 http://scihub22266oqcxt.onion/10.1016/j.procs.2021.12.023 35035620!8745932!35035620     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Procedia+Comput+Sci 2022 ; 196 (ä): 348-355 Nephropedia Template TP {{tp|p=35035620|t=2022. A graph based recommender system for managing Covid-19 Crisis |pdf=|usr=}}{{35035620}} gab.com Text A graph based recommender system for managing Covid-19 Crisis JO: Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=35035620 #FOAvip The paper aims to present a graph based recommender system for managing the Covid-19 crisis by considering patient and medical staff data. Working with limited number of medical staff, require optimization when creating the appropriate medical staff to assist patient. Patient medical files usually contain more information about the patient diseases and symptoms. In this paper the recommender system at first analyses the patient medical files to find and decide which profile of medical staff could assist efficiency this patient in a crisis situation. Second the recommender system by taking into account the availability of the medical staff will try to propose others doctors with the same profile and the nearest competencies. Twit Text FOAVip A graph based recommender system for managing Covid-19 Crisis ????Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=35035620 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35035620 #FOAvip English Wikipedia <ref>{{Cite pmid|35035620}}</ref> A graph based recommender system for managing Covid-19 Crisis #MMPMID35035620 Sayeb Y; Jebri M; Ghezala HB Procedia Comput Sci 2022[]; 196 (ä): 348-355 PMID35035620show ga The paper aims to present a graph based recommender system for managing the Covid-19 crisis by considering patient and medical staff data. Working with limited number of medical staff, require optimization when creating the appropriate medical staff to assist patient. Patient medical files usually contain more information about the patient diseases and symptoms. In this paper the recommender system at first analyses the patient medical files to find and decide which profile of medical staff could assist efficiency this patient in a crisis situation. Second the recommender system by taking into account the availability of the medical staff will try to propose others doctors with the same profile and the nearest competencies. äA graph based recommender system for managing Covid-19 Crisis (epmc).pdf DeepDyve Pubget Overpricing