549 related articles for article (PubMed ID: 33713584)
1. 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]
2. 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]
3. 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]
4. A Prediction Model for Prolonged Hospital Length of Stay (ProLOS) in Coronavirus Disease 2019 (COVID-19) Patients.
Zhang L; Mi GC; Yao XX; Sun SY; Fu AS; Ge YL
Clin Lab; 2024 May; 70(5):. PubMed ID: 38747926
[TBL] [Abstract][Full Text] [Related]
5. Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study.
Yu Y; Wang X; Li M; Gu L; Xie Z; Gu W; Xu F; Bao Y; Liu R; Hu S; Hu M; Hu C
BMC Med Imaging; 2020 Oct; 20(1):111. PubMed ID: 33008329
[TBL] [Abstract][Full Text] [Related]
6. Development and Validation of a Risk-Prediction Nomogram for Preoperative Blood Type and Antibody Testing in Spinal Fusion Surgery.
Wu L; Peng X; Zhuo X; Zhu G; Xie X
Orthop Surg; 2024 Jan; 16(1):111-122. PubMed ID: 38044447
[TBL] [Abstract][Full Text] [Related]
7. Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.
Guan X; Zhang B; Fu M; Li M; Yuan X; Zhu Y; Peng J; Guo H; Lu Y
Ann Med; 2021 Dec; 53(1):257-266. PubMed ID: 33410720
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a nomogram for pneumonia risk in burn patients with inhalation injury: a multicenter retrospective cohort study.
Li S; Li D; Li Y; Liu X; Song Y; Xie X; Luo P; Yuan H; Shen C
Int J Surg; 2024 May; 110(5):2902-2909. PubMed ID: 38348866
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer.
Li X; Zhou Z; Zhu B; Wu Y; Xing C
World J Surg Oncol; 2024 Apr; 22(1):111. PubMed ID: 38664824
[TBL] [Abstract][Full Text] [Related]
10. Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study.
Liu YQ; Yuan WH; Tao Y; Zhao L; Guo WL
J Trop Pediatr; 2024 Apr; 70(3):. PubMed ID: 38670794
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of prognosis model of mortality risk in patients with COVID-19.
Ma X; Ng M; Xu S; Xu Z; Qiu H; Liu Y; Lyu J; You J; Zhao P; Wang S; Tang Y; Cui H; Yu C; Wang F; Shao F; Sun P; Tang Z
Epidemiol Infect; 2020 Aug; 148():e168. PubMed ID: 32746957
[TBL] [Abstract][Full Text] [Related]
12. A Nomogram to Predict the Risk of Acute Ischemic Stroke in Patients with Maintenance Hemodialysis: A Retrospective Cohort Study.
Tong J; Ji T; Liu N; Chen Y; Li Z; Lin X; Xing Y; Li Q
Cerebrovasc Dis Extra; 2024; 14(1):46-57. PubMed ID: 38648746
[TBL] [Abstract][Full Text] [Related]
13. Risk factors and predicting nomogram for the clinical deterioration of non-severe community-acquired pneumonia.
Xu CB; Su SS; Yu J; Lei X; Lin PC; Wu Q; Zhou Y; Li YP
BMC Pulm Med; 2024 Jan; 24(1):57. PubMed ID: 38280994
[TBL] [Abstract][Full Text] [Related]
14. Development and Validation of a Nomogram Model for Individualizing the Risk of Osteopenia in Abdominal Obesity.
Wu G; Lei C; Gong X
J Clin Densitom; 2024; 27(2):101469. PubMed ID: 38479134
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19.
Jehi L; Ji X; Milinovich A; Erzurum S; Merlino A; Gordon S; Young JB; Kattan MW
PLoS One; 2020; 15(8):e0237419. PubMed ID: 32780765
[TBL] [Abstract][Full Text] [Related]
16. Develop and validate a novel online AIHI-nomogram to predict severe liver inflammation in patients with autoimmune hepatitis.
Zhang Z; Wang J; Wang H; Li Y; Zhu L; Chen Y; Liu J; Liu Y; Chen Y; Yin S; Tong X; Yan X; Yang Y; Zhu C; Li J; Qiu Y; Huang R; Wu C
Ann Hepatol; 2023; 28(6):101134. PubMed ID: 37442347
[TBL] [Abstract][Full Text] [Related]
17. One-year mortality prediction for patients with sepsis: a nomogram integrating lactic dehydrogenase and clinical characteristics.
Wang J; Fei W; Song Q
BMC Infect Dis; 2023 Oct; 23(1):668. PubMed ID: 37807068
[TBL] [Abstract][Full Text] [Related]
18. A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.
Bolourani S; Brenner M; Wang P; McGinn T; Hirsch JS; Barnaby D; Zanos TP;
J Med Internet Res; 2021 Feb; 23(2):e24246. PubMed ID: 33476281
[TBL] [Abstract][Full Text] [Related]
19. Models predicting mortality risk of patients with burns to ≥ 50% of the total body surface.
Wang Y; Cai C; Zhu Z; Duan D; Xu W; Shen T; Wang X; Xu Q; Zhang H; Han C
Burns; 2024 Jun; 50(5):1277-1285. PubMed ID: 38490836
[TBL] [Abstract][Full Text] [Related]
20. Risk factor analysis and nomogram for predicting poor symptom control in smoking asthmatics.
Ma J; Chen Z; Wu K; Lei J; Zhao L
BMC Pulm Med; 2024 Jun; 24(1):264. PubMed ID: 38824531
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
