359 related articles for article (PubMed ID: 32649738)
1. Development and Validation of a Nomogram for Assessing Survival in Patients With COVID-19 Pneumonia.
Dong YM; Sun J; Li YX; Chen Q; Liu QQ; Sun Z; Pang R; Chen F; Xu BY; Manyande A; Clark TG; Li JP; Orhan IE; Tian YK; Wang T; Wu W; Ye DW
Clin Infect Dis; 2021 Feb; 72(4):652-660. PubMed ID: 32649738
[TBL] [Abstract][Full Text] [Related]
2. A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China.
Gong J; Ou J; Qiu X; Jie Y; Chen Y; Yuan L; Cao J; Tan M; Xu W; Zheng F; Shi Y; Hu B
Clin Infect Dis; 2020 Jul; 71(15):833-840. PubMed ID: 32296824
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a prognostic nomogram for predicting in-hospital mortality of COVID-19: a multicenter retrospective cohort study of 4086 cases in China.
Li L; Fang X; Cheng L; Wang P; Li S; Yu H; Zhang Y; Jiang N; Zeng T; Hou C; Zhou J; Li S; Pan Y; Li Y; Nie L; Li Y; Sun Q; Jia H; Li M; Cao G; Ma X
Aging (Albany NY); 2021 Feb; 13(3):3176-3189. PubMed ID: 33561834
[TBL] [Abstract][Full Text] [Related]
4. Nomogram for prediction of fatal outcome in patients with severe COVID-19: a multicenter study.
Yang Y; Zhu XF; Huang J; Chen C; Zheng Y; He W; Zhao LH; Gao Q; Huang XX; Fu LJ; Zhang Y; Chang YQ; Zhang HJ; Lu ZJ
Mil Med Res; 2021 Mar; 8(1):21. PubMed ID: 33731184
[TBL] [Abstract][Full Text] [Related]
5. Exploiting an early warning Nomogram for predicting the risk of ICU admission in patients with COVID-19: a multi-center study in China.
Zhou Y; He Y; Yang H; Yu H; Wang T; Chen Z; Yao R; Liang Z
Scand J Trauma Resusc Emerg Med; 2020 Oct; 28(1):106. PubMed ID: 33109234
[TBL] [Abstract][Full Text] [Related]
6. Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19.
Zheng Y; Xiao A; Yu X; Zhao Y; Lu Y; Li X; Mei N; She D; Wang D; Geng D; Yin B
Korean J Radiol; 2020 Aug; 21(8):1007-1017. PubMed ID: 32677385
[TBL] [Abstract][Full Text] [Related]
7. ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019.
Weng Z; Chen Q; Li S; Li H; Zhang Q; Lu S; Wu L; Xiong L; Mi B; Liu D; Lu M; Yang D; Jiang H; Zheng S; Zheng X
J Transl Med; 2020 Aug; 18(1):328. PubMed ID: 32867787
[TBL] [Abstract][Full Text] [Related]
8. Construction and validation of a machine learning-based nomogram: A tool to predict the risk of getting severe coronavirus disease 2019 (COVID-19).
Yao Z; Zheng X; Zheng Z; Wu K; Zheng J
Immun Inflamm Dis; 2021 Jun; 9(2):595-607. PubMed ID: 33713584
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a prognostic model for assessing long COVID risk following Omicron wave-a large population-based cohort study.
Fang LC; Ming XP; Cai WY; Hu YF; Hao B; Wu JH; Tuohuti A; Chen X
Virol J; 2024 May; 21(1):123. PubMed ID: 38822405
[TBL] [Abstract][Full Text] [Related]
10. A Nomogram Prediction of Length of Hospital Stay in Patients with COVID-19 Pneumonia: A Retrospective Cohort Study.
Li K; Zhang C; Qin L; Zang C; Li A; Sun J; Zhao Y; Feng Y; Zhang Y
Dis Markers; 2021; 2021():5598824. PubMed ID: 34158873
[TBL] [Abstract][Full Text] [Related]
11. A nomogram for predicting mortality in patients with COVID-19 and solid tumors: a multicenter retrospective cohort study.
Liu C; Li L; Song K; Zhan ZY; Yao Y; Gong H; Chen Y; Wang Q; Dong X; Xie Z; Ou CQ; Hu Q; Song Q
J Immunother Cancer; 2020 Sep; 8(2):. PubMed ID: 32895296
[TBL] [Abstract][Full Text] [Related]
12. Nomogram Model for Prediction of SARS-CoV-2 Breakthrough Infection in Fujian: A Case-Control Real-World Study.
Chen T; Zeng Y; Yang D; Ye W; Zhang J; Lin C; Huang Y; Ye Y; Li J; Ou Q; Li J; Liu C
Front Cell Infect Microbiol; 2022; 12():932204. PubMed ID: 35811681
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of a nomogram using on admission routine laboratory parameters to predict in-hospital survival of patients with COVID-19.
Chen H; Chen R; Yang H; Wang J; Hou Y; Hu W; Yu J; Li H
J Med Virol; 2021 Apr; 93(4):2332-2339. PubMed ID: 33289142
[TBL] [Abstract][Full Text] [Related]
14. Development and Validation of a Nomogram for Predicting the Risk of Coronavirus-Associated Acute Respiratory Distress Syndrome: A Retrospective Cohort Study.
Zhang L; Xu J; Qi X; Tao Z; Yang Z; Chen W; Wang X; Pan T; Dai Y; Tian R; Chen Y; Tang B; Liu Z; Tan R; Qu H; Yu Y; Liu J
Infect Drug Resist; 2022; 15():2371-2381. PubMed ID: 35528184
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a nomogram to better predict hypertension based on a 10-year retrospective cohort study in China.
Deng X; Hou H; Wang X; Li Q; Li X; Yang Z; Wu H
Elife; 2021 May; 10():. PubMed ID: 34047697
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of a simple-to-use nomogram to predict the deterioration and survival of patients with COVID-19.
Zeng Z; Wu C; Lin Z; Ye Y; Feng S; Fang Y; Huang Y; Li M; Du D; Chen G; Kang D
BMC Infect Dis; 2021 Apr; 21(1):356. PubMed ID: 33863287
[TBL] [Abstract][Full Text] [Related]
17. An online tool for predicting the prognosis of cancer patients with SARS-CoV-2 infection: a multi-center study.
Song C; Dong Z; Gong H; Liu XP; Dong X; Wang A; Chen Y; Song Q; Hu W
J Cancer Res Clin Oncol; 2021 Apr; 147(4):1247-1257. PubMed ID: 33040189
[TBL] [Abstract][Full Text] [Related]
18. Development and validation a nomogram for predicting the risk of severe COVID-19: A multi-center study in Sichuan, China.
Zhou Y; He Y; Yang H; Yu H; Wang T; Chen Z; Yao R; Liang Z
PLoS One; 2020; 15(5):e0233328. PubMed ID: 32421703
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a simplified nomogram predicting individual critical illness of risk in COVID-19: A retrospective study.
Xu R; Cui J; Hu L; Wang Y; Wang T; Ye D; Lv Y; Liu Q
J Med Virol; 2021 Apr; 93(4):1999-2009. PubMed ID: 32975825
[TBL] [Abstract][Full Text] [Related]
20. Predictive Nomogram for Severe COVID-19 and Identification of Mortality-Related Immune Features.
Cai L; Zhou X; Wang M; Mei H; Ai L; Mu S; Zhao X; Chen W; Hu Y; Wang H
J Allergy Clin Immunol Pract; 2021 Jan; 9(1):177-184.e3. PubMed ID: 33160092
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
