416 related articles for article (PubMed ID: 33536460)
1. Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.
Xu W; Sun NN; Gao HN; Chen ZY; Yang Y; Ju B; Tang LL
Sci Rep; 2021 Feb; 11(1):2933. PubMed ID: 33536460
[TBL] [Abstract][Full Text] [Related]
2. eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19.
Singhal L; Garg Y; Yang P; Tabaie A; Wong AI; Mohammed A; Chinthala L; Kadaria D; Sodhi A; Holder AL; Esper A; Blum JM; Davis RL; Clifford GD; Martin GS; Kamaleswaran R
PLoS One; 2021; 16(9):e0257056. PubMed ID: 34559819
[TBL] [Abstract][Full Text] [Related]
3. Clinical characteristics of Egyptian male patients with COVID-19 acute respiratory distress syndrome.
Doghish AS; Elkhatib WF; Hassan EA; Elkhateeb AF; Mahmoud EE; Ahmed MI; Khalil MAF
PLoS One; 2021; 16(4):e0249346. PubMed ID: 33861750
[TBL] [Abstract][Full Text] [Related]
4. Risk Factors and a Scoring System to Predict ARDS in Patients with COVID-19 Pneumonia in Korea: A Multicenter Cohort Study.
Seo JW; Kim SE; Choi EY; Hong KS; Oh TH; Kim UJ; Kang SJ; Park KH; Jung SI; Kim DY; Yun NR; Kim DM; Kim HP; Hur J; Jang HC
Dis Markers; 2021; 2021():8821697. PubMed ID: 33897912
[TBL] [Abstract][Full Text] [Related]
5. Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study.
Wang A; Gao G; Wang S; Chen M; Qian F; Tang W; Xu Y; Song R; Zhuang L; Ma X; Zhao T; Guo X; Li W; Wang X; Li B; Hu C; Chen Z; Zhang F
Med Sci Monit; 2020 Sep; 26():e925974. PubMed ID: 32973126
[TBL] [Abstract][Full Text] [Related]
6. Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV-2 infection.
Roussel M; Ferrant J; Reizine F; Le Gallou S; Dulong J; Carl S; Lesouhaitier M; Gregoire M; Bescher N; Verdy C; Latour M; Bézier I; Cornic M; Vinit A; Monvoisin C; Sawitzki B; Leonard S; Paul S; Feuillard J; Jeannet R; Daix T; Tiwari VK; Tadié JM; Cogné M; Tarte K
Cell Rep Med; 2021 Jun; 2(6):100291. PubMed ID: 33977279
[TBL] [Abstract][Full Text] [Related]
7. Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods.
Kivrak M; Guldogan E; Colak C
Comput Methods Programs Biomed; 2021 Apr; 201():105951. PubMed ID: 33513487
[TBL] [Abstract][Full Text] [Related]
8. A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients.
Lazzarini N; Filippoupolitis A; Manzione P; Eleftherohorinou H
PLoS One; 2022; 17(7):e0271227. PubMed ID: 35901089
[TBL] [Abstract][Full Text] [Related]
9. Identification of risk factors for in-hospital death of COVID - 19 pneumonia -- lessions from the early outbreak.
Wang Z; Wang Z
BMC Infect Dis; 2021 Jan; 21(1):113. PubMed ID: 33494706
[TBL] [Abstract][Full Text] [Related]
10. A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.
Suri JS; Agarwal S; Gupta SK; Puvvula A; Biswas M; Saba L; Bit A; Tandel GS; Agarwal M; Patrick A; Faa G; Singh IM; Oberleitner R; Turk M; Chadha PS; Johri AM; Miguel Sanches J; Khanna NN; Viskovic K; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou A; Misra DP; Agarwal V; Kitas GD; Ahluwalia P; Teji J; Al-Maini M; Dhanjil SK; Sockalingam M; Saxena A; Nicolaides A; Sharma A; Rathore V; Ajuluchukwu JNA; Fatemi M; Alizad A; Viswanathan V; Krishnan PK; Naidu S
Comput Biol Med; 2021 Mar; 130():104210. PubMed ID: 33550068
[TBL] [Abstract][Full Text] [Related]
11. Developing and evaluating a machine-learning-based algorithm to predict the incidence and severity of ARDS with continuous non-invasive parameters from ordinary monitors and ventilators.
Wu W; Wang Y; Tang J; Yu M; Yuan J; Zhang G
Comput Methods Programs Biomed; 2023 Mar; 230():107328. PubMed ID: 36640602
[TBL] [Abstract][Full Text] [Related]
12. Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach.
Ponce D; de Andrade LGM; Claure-Del Granado R; Ferreiro-Fuentes A; Lombardi R
Sci Rep; 2021 Dec; 11(1):24439. PubMed ID: 34952908
[TBL] [Abstract][Full Text] [Related]
13. Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).
Le S; Pellegrini E; Green-Saxena A; Summers C; Hoffman J; Calvert J; Das R
J Crit Care; 2020 Dec; 60():96-102. PubMed ID: 32777759
[TBL] [Abstract][Full Text] [Related]
14. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.
Ikemura K; Bellin E; Yagi Y; Billett H; Saada M; Simone K; Stahl L; Szymanski J; Goldstein DY; Reyes Gil M
J Med Internet Res; 2021 Feb; 23(2):e23458. PubMed ID: 33539308
[TBL] [Abstract][Full Text] [Related]
15. [Therapy of coronavirus disease 2019 induced acute respiratory distress syndrome is different from traditional acute respiratory distress syndrome].
Pan C; Xie JF; Qiu HB; Yang Y
Zhonghua Shao Shang Za Zhi; 2020 May; 36(5):330-333. PubMed ID: 32456368
[TBL] [Abstract][Full Text] [Related]
16. Severe COVID-19 with acute respiratory distress syndrome (ARDS) in a sickle cell disease adult patient: case report.
Teulier M; Elabbadi A; Gerotziafas G; Lionnet F; Voiriot G; Fartoukh M
BMC Pulm Med; 2021 Jan; 21(1):46. PubMed ID: 33514354
[TBL] [Abstract][Full Text] [Related]
17. Histopathological features in fatal COVID-19 acute respiratory distress syndrome.
Merdji H; Mayeur S; Schenck M; Oulehri W; Clere-Jehl R; Cunat S; Herbrecht JE; Janssen-Langenstein R; Nicolae A; Helms J; Meziani F; Chenard MP;
Med Intensiva (Engl Ed); 2021; 45(5):261-270. PubMed ID: 34059216
[TBL] [Abstract][Full Text] [Related]
18. Prediction of disease progression in patients with COVID-19 by artificial intelligence assisted lesion quantification.
Li Y; Shang K; Bian W; He L; Fan Y; Ren T; Zhang J
Sci Rep; 2020 Dec; 10(1):22083. PubMed ID: 33328512
[TBL] [Abstract][Full Text] [Related]
19. Early risk markers for severe clinical course and fatal outcome in German patients with COVID-19.
Balfanz P; Hartmann B; Müller-Wieland D; Kleines M; Häckl D; Kossack N; Kersten A; Cornelissen C; Müller T; Daher A; Stöhr R; Bickenbach J; Marx G; Marx N; Dreher M
PLoS One; 2021; 16(1):e0246182. PubMed ID: 33513168
[TBL] [Abstract][Full Text] [Related]
20. Clinical characteristics of the first known cases of death caused by COVID-19 pneumonia.
Kong FZ; Wang Y; Wang MX; Cheng QZ; Logan R; Wu GH; Hu SM
Aging (Albany NY); 2020 Nov; 12(22):22405-22412. PubMed ID: 33226959
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
