Prediction of COVID-19 Hospital Length of Stay and Risk of Death Using Artificial Intelligence-Based Modeling.
COVID-19
artificial intelligence
length of stay
predictive analytics
risk of death
Journal
Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047
Informations de publication
Date de publication:
2021
2021
Historique:
received:
07
08
2020
accepted:
10
03
2021
entrez:
21
5
2021
pubmed:
22
5
2021
medline:
22
5
2021
Statut:
epublish
Résumé
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly infectious virus with overwhelming demand on healthcare systems, which require advanced predictive analytics to strategize COVID-19 management in a more effective and efficient manner. We analyzed clinical data of 2017 COVID-19 cases reported in the Dubai health authority and developed predictive models to predict the patient's length of hospital stay and risk of death. A decision tree (DT) model to predict COVID-19 length of stay was developed based on patient clinical information. The model showed very good performance with a coefficient of determination
Identifiants
pubmed: 34017839
doi: 10.3389/fmed.2021.592336
pmc: PMC8129500
doi:
Types de publication
Journal Article
Langues
eng
Pagination
592336Informations de copyright
Copyright © 2021 Mahboub, Bataineh, Alshraideh, Hamoudi, Salameh and Shamayleh.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Physiol Genomics. 2020 Apr 1;52(4):200-202
pubmed: 32216577
Respir Care. 2019 Feb;64(2):136-144
pubmed: 30154127
Lancet. 2020 Jun 20;395(10241):1907-1918
pubmed: 32473681
Nature. 2017 Oct 18;550(7676):354-359
pubmed: 29052630
Complement Ther Clin Pract. 2020 May;39:101166
pubmed: 32379637
Kidney Int. 2020 May;97(5):829-838
pubmed: 32247631
Thromb Res. 2020 Jul;191:145-147
pubmed: 32291094
Lancet. 2020 May 16;395(10236):1544-1545
pubmed: 32380044
JMIR Public Health Surveill. 2020 Apr 14;6(2):e18873
pubmed: 32248145
Circulation. 2020 Jul 14;142(2):184-186
pubmed: 32330083
BMC Med. 2020 Sep 3;18(1):270
pubmed: 32878619
Nat Commun. 2020 Nov 13;11(1):5761
pubmed: 33188185
Diabetes Metab Syndr. 2020 Jul - Aug;14(4):569-573
pubmed: 32413821
PLoS One. 2018 Aug 31;13(8):e0202344
pubmed: 30169498
Diabetes Metab Syndr. 2020 Jul - Aug;14(4):337-339
pubmed: 32305024
Ann Intern Med. 2020 Dec 15;173(12):1030
pubmed: 33316197
Int J Med Inform. 2015 May;84(5):299-307
pubmed: 25683227
Lancet. 2020 Feb 15;395(10223):497-506
pubmed: 31986264
Ann Rehabil Med. 2019 Aug;43(4):509-523
pubmed: 31499605
Am J Physiol. 1994 Jul;267(1 Pt 1):L33-8
pubmed: 7519403
Lancet. 2020 Jun 6;395(10239):1763-1770
pubmed: 32442528