A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization

Number of the records: 1

Title	A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization. textový dokument (print)
Author	Lipták P.
Co-authors	Banovcin P.
	Rosoľanka R.
	Prokopič M.
	Kocan I.
	Žiačiková I.
	Uhrik P.
	Grendár Marián 1969 SAVMER - Ústav merania SAV ^SCOPUS ^RID ^ORCID
	Hyrdel R.

Source document	PeerJ. (2022), art. no. e13124
Language	eng - English
Country	US - United States of America
Document kind	rozpis článkov z periodík (rbx)
Citations	MARTINEZ, J.A. - ALONSO-BERNALDEZ, M. - MARTINEZ-URBISTONDO, D. - VARGAS-NUNEZ, J.A. - DE MOLINA, A.R. - DAVALOS, A. - RAMOS-LOPEZ, O. Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases. In WORLD JOURNAL OF GASTROENTEROLOGY. ISSN 1007-9327, NOV 28 2022, vol. 28, no. 44, p. 6230-6248. Dostupné na: https://doi.org/10.3748/wjg.v28.i44.6230.
	LEE, K.S. - KIM, E.S. Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease. In DIAGNOSTICS. NOV 2022, vol. 12, no. 11. Dostupné na: https://doi.org/10.3390/diagnostics12112740.
Category	ADMA - Scientific papers in foreign impacted journals registered in Web of Sciences or Scopus
Category of document (from 2022)	V3 - Vedecký výstup publikačnej činnosti z časopisu
Type of document	článok
Year	2022
Registered in	WOS
Registered in	SCOPUS
DOI	10.7717/peerj.13124

article

	File name	Access	Size	Downloaded	Type	License
	A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization.pdf	available	4.3 MB	4	Publisher's version

rok	CC	IF	IF Q (best)	JCR Av Jour IF Perc	SJR	SJR Q (best)	CiteScore
	N

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2022	2021	3.061	Q2	0.766	Q1

Number of the records: 1