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Cited by in F6Publishing
For: Li X, Ge P, Zhu J, Li H, Graham J, Singer A, Richman PS, Duong TQ. Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables. PeerJ 2020;8:e10337. [PMID: 33194455 DOI: 10.7717/peerj.10337] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Musheyev B, Borg L, Janowicz R, Matarlo M, Boyle H, Singh G, Ende V, Babatsikos I, Hou W, Duong TQ. Functional status of mechanically ventilated COVID-19 survivors at ICU and hospital discharge. J Intensive Care 2021;9:31. [PMID: 33789772 DOI: 10.1186/s40560-021-00542-y] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
2 Wu J, Lin Y, Li P, Hu Y, Zhang L, Kong G. Predicting Prolonged Length of ICU Stay through Machine Learning. Diagnostics (Basel) 2021;11:2242. [PMID: 34943479 DOI: 10.3390/diagnostics11122242] [Reference Citation Analysis]
3 Han X, Xu J, Hou H, Yang H, Wang Y. Impact of asthma on COVID-19 mortality in the United States: Evidence based on a meta-analysis. Int Immunopharmacol 2022;102:108390. [PMID: 34844871 DOI: 10.1016/j.intimp.2021.108390] [Reference Citation Analysis]
4 Liu M, Jiang H, Li Y, Li C, Tan Z, Jin F, Zhang T, Nan Y. Independent Risk Factors for the Dynamic Development of COVID-19: A Retrospective Study. Int J Gen Med 2021;14:4349-67. [PMID: 34408476 DOI: 10.2147/IJGM.S325112] [Reference Citation Analysis]
5 Lu JY, Hou W, Duong TQ. Longitudinal prediction of hospital-acquired acute kidney injury in COVID-19: a two-center study. Infection. [DOI: 10.1007/s15010-021-01646-1] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Celaya-Padilla JM, Villagrana-Bañuelos KE, Oropeza-Valdez JJ, Monárrez-Espino J, Castañeda-Delgado JE, Oostdam ASH, Fernández-Ruiz JC, Ochoa-González F, Borrego JC, Enciso-Moreno JA, López JA, López-Hernández Y, Galván-Tejada CE. Kynurenine and Hemoglobin as Sex-Specific Variables in COVID-19 Patients: A Machine Learning and Genetic Algorithms Approach. Diagnostics (Basel) 2021;11:2197. [PMID: 34943434 DOI: 10.3390/diagnostics11122197] [Reference Citation Analysis]
7 Khan IU, Aslam N, Aljabri M, Aljameel SS, Kamaleldin MMA, Alshamrani FM, Chrouf SMB. Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients. Int J Environ Res Public Health 2021;18:6429. [PMID: 34198547 DOI: 10.3390/ijerph18126429] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Naseem M, Arshad H, Hashmi SA, Irfan F, Ahmed FS. Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network. Int J Med Inform 2021;154:104556. [PMID: 34455118 DOI: 10.1016/j.ijmedinf.2021.104556] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Sun C, Chen Y, Hu L, Wu Y, Liang M, Ayaz Ahmed M, Bhan C, Guo Z, Yang H, Zuo Y, Yan Y, Zhou Q. Does Famotidine Reduce the Risk of Progression to Severe Disease, Death, and Intubation for COVID-19 Patients? A Systemic Review and Meta-Analysis. Dig Dis Sci 2021. [PMID: 33625613 DOI: 10.1007/s10620-021-06872-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
10 Lu JQ, Musheyev B, Peng Q, Duong TQ. Neural network analysis of clinical variables predicts escalated care in COVID-19 patients: a retrospective study. PeerJ 2021;9:e11205. [PMID: 33976972 DOI: 10.7717/peerj.11205] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
11 Roland T, Böck C, Tschoellitsch T, Maletzky A, Hochreiter S, Meier J, Klambauer G. Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests. J Med Syst 2022;46. [DOI: 10.1007/s10916-022-01807-1] [Reference Citation Analysis]
12 Nazir A, Ampadu HK. Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients. PeerJ Computer Science 2022;8:e889. [DOI: 10.7717/peerj-cs.889] [Reference Citation Analysis]
13 Nneji GU, Cai J, Monday HN, Hossin MA, Nahar S, Mgbejime GT, Deng J. Fine-Tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low-Quality Chest X-ray Images for COVID-19 Identification. Diagnostics 2022;12:717. [DOI: 10.3390/diagnostics12030717] [Reference Citation Analysis]
14 Yildiz H, Castanares-Zapatero D, Pierman G, Pothen L, De Greef J, Aboubakar Nana F, Rodriguez-Villalobos H, Belkhir L, Yombi JC. Validation of Neutrophil-to-Lymphocyte Ratio Cut-off Value Associated with High In-Hospital Mortality in COVID-19 Patients. Int J Gen Med 2021;14:5111-7. [PMID: 34511993 DOI: 10.2147/IJGM.S326666] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Musheyev B, Janowicz R, Borg L, Matarlo M, Boyle H, Hou W, Duong TQ. Characterizing non-critically ill COVID-19 survivors with and without in-hospital rehabilitation. Sci Rep 2021;11:21039. [PMID: 34702883 DOI: 10.1038/s41598-021-00246-1] [Reference Citation Analysis]
16 Chen A, Zhao Z, Hou W, Singer AJ, Li H, Duong TQ. Time-to-Death Longitudinal Characterization of Clinical Variables and Longitudinal Prediction of Mortality in COVID-19 Patients: A Two-Center Study. Front Med (Lausanne) 2021;8:661940. [PMID: 33996864 DOI: 10.3389/fmed.2021.661940] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Asada K, Komatsu M, Shimoyama R, Takasawa K, Shinkai N, Sakai A, Bolatkan A, Yamada M, Takahashi S, Machino H, Kobayashi K, Kaneko S, Hamamoto R. Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics. J Pers Med 2021;11:886. [PMID: 34575663 DOI: 10.3390/jpm11090886] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Hamad DA, Aly MM, Abdelhameid MA, Ahmed SA, Shaltout AS, Abdel-Moniem AE, Ragheb AMR, Attia MN, Meshref TS. Combined Blood Indexes of Systemic Inflammation as a Mirror to Admission to Intensive Care Unit in COVID-19 Patients: A Multicentric Study. J Epidemiol Glob Health 2021. [PMID: 34904189 DOI: 10.1007/s44197-021-00021-5] [Reference Citation Analysis]
19 Aktar S, Talukder A, Ahamad MM, Kamal AHM, Khan JR, Protikuzzaman M, Hossain N, Azad AKM, Quinn JMW, Summers MA, Liaw T, Eapen V, Moni MA. Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19. Diagnostics (Basel) 2021;11:1383. [PMID: 34441317 DOI: 10.3390/diagnostics11081383] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
20 Lu JY, Babatsikos I, Fisher MC, Hou W, Duong TQ. Longitudinal Clinical Profiles of Hospital vs. Community-Acquired Acute Kidney Injury in COVID-19. Front Med (Lausanne) 2021;8:647023. [PMID: 34124089 DOI: 10.3389/fmed.2021.647023] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
21 Bartolucci M, Benelli M, Betti M, Bicchi S, Fedeli L, Giannelli F, Aquilini D, Baldini A, Consales G, Di Natale ME, Lotti P, Vannucchi L, Trezzi M, Mazzoni LN, Santini S, Carpi R, Matarrese D, Bernardi L, Mascalchi M; COVID Working Group. The incremental value of computed tomography of COVID-19 pneumonia in predicting ICU admission. Sci Rep 2021;11:15619. [PMID: 34341411 DOI: 10.1038/s41598-021-95114-3] [Reference Citation Analysis]
22 Shen B, Hoshmand-Kochi M, Abbasi A, Glass S, Jiang Z, Singer AJ, Thode HC, Li H, Hou W, Duong TQ. Initial chest radiograph scores inform COVID-19 status, intensive care unit admission and need for mechanical ventilation. Clin Radiol 2021;76:473.e1-7. [PMID: 33706997 DOI: 10.1016/j.crad.2021.02.005] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
23 Islam MM, Poly TN, Alsinglawi B, Lin MC, Hsu MH, Li YJ. A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19. J Clin Med 2021;10:1961. [PMID: 34063302 DOI: 10.3390/jcm10091961] [Cited by in F6Publishing: 1] [Reference Citation Analysis]