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Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm

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Year: 2024
Type: article
Source: European Journal of Internal Medicine
DOI: 10.1016/j.ejim.2024.02.037
Authors: Panagiotis G. Asteris, Amir H. Gandomi, Danial J. Armaghani, Styliani Kokoris, Anastasia T. Papandreadi, Anna Roumelioti, Stefanos Papanikolaou, Markos Z. Tsoukalas, Leonidas Triantafyllidis, Evangelos I. Koutras, Abidhan Bardhan, Ahmed Salih Mohammed, Hosein Naderpour, Satish Paudel, Pijush Samui, Ioannis Ntanasis-Stathopoulos, Meletios A. Dimopoulos, Evangelos Terpos
Institutions: School of Pedagogical and Technological Education, Obuda University, University of Technology Sydney, National and Kapodistrian University of Athens, University General Hospital Attikon, Evangelismos Hospital, National Centre for Nuclear Research, National Institute of Technology Patna, American University of Iraq Sulaimani, Institute of Industrial Science, The University of Tokyo, The University of Tokyo, University of Nevada, Reno
Language: English

Topic: COVID-19 Clinical Research Studies
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4392595280
FWCI: 10.22
Cites: 69
Cited by: 35
Related to: 10
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