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10.31083/j.rcm.2020.03.120 http://scihub22266oqcxt.onion/10.31083/j.rcm.2020.03.120 33070540!ä!33070540 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33070540&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Rev+Cardiovasc+Med 2020 ; 21 (3): 345-352 Nephropedia Template TP {{tp|p=33070540|t=2020. Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications |pdf=|usr=}}{{33070540}} gab.com Text Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications JO: Rev Cardiovasc Med http://www.kidney.de/pget.php?&tw=1&pmid=33070540 #FOAvip Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine learning is a software solution with the ability to analyze large amounts of data and make predictions without prior programming. When faced with new problems with unique challenges as evident in the COVID-19 pandemic, machine learning can offer solutions that are not apparent on the surface by sifting quickly through massive quantities of data and making associations that may have been missed. Artificial intelligence is a broad term that encompasses different tools, including various types of machine learning and deep learning. Here, we review several cardiovascular applications of machine learning and artificial intelligence and their potential applications to cardiovascular diagnosis, prognosis, and therapy in COVID-19 infection. Twit Text FOAVip Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications ????Rev Cardiovasc Med http://www.kidney.de/pget.php?&tw=1&pmid=33070540 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33070540 #FOAvip English Wikipedia <ref>{{Cite pmid|33070540}}</ref> Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications #MMPMID33070540 Zimmerman A; Kalra D Rev Cardiovasc Med 2020[Sep]; 21 (3): 345-352 PMID33070540show ga Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine learning is a software solution with the ability to analyze large amounts of data and make predictions without prior programming. When faced with new problems with unique challenges as evident in the COVID-19 pandemic, machine learning can offer solutions that are not apparent on the surface by sifting quickly through massive quantities of data and making associations that may have been missed. Artificial intelligence is a broad term that encompasses different tools, including various types of machine learning and deep learning. Here, we review several cardiovascular applications of machine learning and artificial intelligence and their potential applications to cardiovascular diagnosis, prognosis, and therapy in COVID-19 infection. |*Betacoronavirus[MESH] |*Machine Learning[MESH] |COVID-19[MESH] |Cardiovascular Diseases/*diagnosis/etiology[MESH] |Coronavirus Infections/*complications/epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*complications/epidemiology[MESH] |Prognosis[MESH]Usefulness of machine learning in COVID-19 for the detection and progn(epmc).pdf DeepDyve Pubget Overpricing