528 related articles for article (PubMed ID: 36609220)
1. Development of a novel tool: a nomogram for predicting in-hospital mortality of patients in intensive care unit after percutaneous coronary intervention.
Yuan M; Ren BC; Wang Y; Ren F; Gao D
BMC Anesthesiol; 2023 Jan; 23(1):5. PubMed ID: 36609220
[TBL] [Abstract][Full Text] [Related]
2. [Development and validation of a prognostic model for patients with sepsis in intensive care unit].
Jiang Z; Wang H; Wang S; Guan C; Qu Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):800-806. PubMed ID: 37593856
[TBL] [Abstract][Full Text] [Related]
3. Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis.
Wei J; Liang R; Liu S; Dong W; Gao J; Hua T; Xiao W; Li H; Zhu H; Hu J; Cao S; Liu Y; Lyu J; Yang M
BMC Infect Dis; 2024 Apr; 24(1):442. PubMed ID: 38671376
[TBL] [Abstract][Full Text] [Related]
4. Establishment and validation of a risk model for prediction of in-hospital mortality in patients with acute ST-elevation myocardial infarction after primary PCI.
Gao N; Qi X; Dang Y; Li Y; Wang G; Liu X; Zhu N; Fu J
BMC Cardiovasc Disord; 2020 Dec; 20(1):513. PubMed ID: 33297955
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of a nomogram for predicting in-hospital mortality of patients with cervical spine fractures without spinal cord injury.
Xing Z; Cai L; Wu Y; Shen P; Fu X; Xu Y; Wang J
Eur J Med Res; 2024 Jan; 29(1):80. PubMed ID: 38287435
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a risk prediction nomogram for in-stent restenosis in patients undergoing percutaneous coronary intervention.
He W; Xu C; Wang X; Lei J; Qiu Q; Hu Y; Luo D
BMC Cardiovasc Disord; 2021 Sep; 21(1):435. PubMed ID: 34521385
[TBL] [Abstract][Full Text] [Related]
7. Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database.
Wang H; Ou Y; Fan T; Zhao J; Kang M; Dong R; Qu Y
Front Public Health; 2021; 9():818439. PubMed ID: 35004604
[No Abstract] [Full Text] [Related]
8. Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis: an analysis of the MIMIC-III database.
Fan T; Wang H; Wang J; Wang W; Guan H; Zhang C
BMC Endocr Disord; 2021 Mar; 21(1):37. PubMed ID: 33663489
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a prognostic nomogram for Takotsubo syndrome patients in the intensive care units: a retrospective cohort study.
Chen J; Wang Y; Shou X; Liu Q; Mei Z
Sci Rep; 2023 Jan; 13(1):477. PubMed ID: 36627324
[TBL] [Abstract][Full Text] [Related]
10. Predicting the Risk of Unplanned Readmission at 30 Days After PCI: Development and Validation of a New Predictive Nomogram.
Xu W; Tu H; Xiong X; Peng Y; Cheng T
Clin Interv Aging; 2022; 17():1013-1023. PubMed ID: 35818480
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of a nomogram for predicting in-hospital mortality in patients with nonhip femoral fractures.
Xing Z; Xu Y; Wu Y; Fu X; Shen P; Che W; Wang J
Eur J Med Res; 2023 Nov; 28(1):539. PubMed ID: 38001553
[TBL] [Abstract][Full Text] [Related]
12. Predicting in-hospital mortality for MIMIC-III patients: A nomogram combined with SOFA score.
Liu R; Liu H; Li L; Wang Z; Li Y
Medicine (Baltimore); 2022 Oct; 101(42):e31251. PubMed ID: 36281193
[TBL] [Abstract][Full Text] [Related]
13. [Development and validation of a nomogram for predicting 3-month mortality risk in patients with sepsis-associated acute kidney injury].
Yue X; Li Z; Wang L; Huang L; Zhao Z; Wang P; Wang S; Gong X; Zhang S; Wang Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):465-470. PubMed ID: 38845491
[TBL] [Abstract][Full Text] [Related]
14. Development and validation a nomogram prediction model for early diagnosis of bloodstream infections in the intensive care unit.
Qi Z; Dong L; Lin J; Duan M
Front Cell Infect Microbiol; 2024; 14():1348896. PubMed ID: 38500500
[TBL] [Abstract][Full Text] [Related]
15. Establishment and validation of a prognosis nomogram for MIMIC-III patients with liver cirrhosis complicated with hepatic encephalopathy.
Yan W; Yao Z; Ou Q; Ye G
BMC Gastroenterol; 2023 Sep; 23(1):335. PubMed ID: 37770848
[TBL] [Abstract][Full Text] [Related]
16. Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning.
Sun Y; He Z; Ren J; Wu Y
BMC Anesthesiol; 2023 May; 23(1):178. PubMed ID: 37231340
[TBL] [Abstract][Full Text] [Related]
17. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU.
Xie W; Li Y; Meng X; Zhao M
Int J Med Inform; 2023 Jun; 174():105049. PubMed ID: 37001474
[TBL] [Abstract][Full Text] [Related]
18. [Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis].
Qi Z; Ding D; Wu C; Han X; Li Z; Zhang Y; Hu Q; Hao C; Yang F
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):471-477. PubMed ID: 38845492
[TBL] [Abstract][Full Text] [Related]
19. Risk factor analysis and nomogram for predicting in-hospital mortality in ICU patients with sepsis and lung infection.
Ren Y; Zhang L; Xu F; Han D; Zheng S; Zhang F; Li L; Wang Z; Lyu J; Yin H
BMC Pulm Med; 2022 Jan; 22(1):17. PubMed ID: 34991569
[TBL] [Abstract][Full Text] [Related]
20. [Analysis of 28 day-mortality risk factors in sepsis patients and construction and validation of predictive model].
Shao H; Wang Y; Zhang H; Zhou Y; Zhang J; Yao H; Liu D; Liu D
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):478-484. PubMed ID: 38845493
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]