COVID-19 and the Futures of Machine Learning

OMICS: A Journal of Integrative BiologyVol. 24, No. 9 CommentariesCOVID-19 and the Futures of Machine LearningKazım Yalçın ArgaKazım Yalçın ArgaAddress correspondence to: Kazım Yalçın Arga, PhD, Department of Bioengineering, Faculty of Engineering, Marmara University, Building D, Office: 405, Kadıköy, Istanbul 34722, Turkey E-mail Address: email protectedDepartment of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey.Health Institutes of Turkey, Istanbul, Turkey.Search for more papers by this authorPublished Online:2 Sep 2020https://doi.org/10.1089/omi.2020.0093AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookXLinked InRedditEmail View articleFiguresReferencesRelatedDetailsCited byGenome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models1 January 2024 | Molecular Omics, Vol. 48Inteligência artificial e previsão de óbito por Covid-19 no Brasil: uma análise comparativa entre os algoritmos Logistic Regression, Decision Tree e Random Forest1 December 2022 | Saúde em Debate, Vol. 46, No. spe8Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious DiseasesInternational Journal of Artificial Intelligence and Machine Learning, Vol. 12, No. 2Survey of Applications of Neural Networks and Machine Learning to COVID-19 PredictionsBeyond PandemicArtificial Intelligence as Accelerator for Genomic Medicine and Planetary Health Gizem Gulfidan, Hande Beklen, and Kazim Yalcin Arga8 December 2021 | OMICS: A Journal of Integrative Biology, Vol. 25, No. 12Early Stage Identification of COVID-19 Patients in Mexico Using Machine Learning: A Case Study for the Tijuana General Hospital24 November 2021 | Information, Vol. 12, No. 12Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysisComputers in Biology and Medicine, Vol. 135Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach6 January 2021 | Journal of Medical Internet Research, Vol. 23, No. 1Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets12 August 2021 | PeerJ Computer Science, Vol. 7Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review26 July 2020 | Applied Sciences, Vol. 10, No. 15 Volume 24Issue 9Sep 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:Kazım Yalçın Arga.COVID-19 and the Futures of Machine Learning.OMICS: A Journal of Integrative Biology.Sep 2020.512-514.http://doi.org/10.1089/omi.2020.0093Published in Volume: 24 Issue 9: September 2, 2020Online Ahead of Print:June 8, 2020 TopicsArtificial intelligenceCOVID-19Machine learning PDF download