Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review

Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including camels, cattle, cats and bats. Animal CoVs, such as Middle East respiratory syndrome-CoV, severe acute respiratory syndrome (SARS)-CoV, and the new virus named SARS-CoV-2, rarely infect and spread am...

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Veröffentlicht in:	Journal of medical systems 2020-07, Vol.44 (7), p.122-122, Article 122
Hauptverfasser:	Albahri, A. S., Hamid, Rula A., Alwan, Jwan k., Al-qays, Z.T., Zaidan, A. A., Zaidan, B. B., Albahri, A O. S., AlAmoodi, A. H., Khlaf, Jamal Mawlood, Almahdi, E. M., Thabet, Eman, Hadi, Suha M., Mohammed, K I., Alsalem, M. A., Al-Obaidi, Jameel R., Madhloom, H.T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animal species Artificial intelligence Betacoronavirus Camels Coronavirus Infections - diagnosis Coronaviruses COVID-19 Data mining Data Mining - methods Health Informatics Health Sciences Humans International regulations Learning algorithms Machine Learning Medical diagnosis Medicine Medicine & Public Health Pandemics Pneumonia, Viral - diagnosis Public health Reliability analysis Respiratory diseases SARS-CoV-2 Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 State-of-the-art reviews Statistics for Life Sciences Systematic review Systems-Level Quality Improvement Viral diseases Viruses
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