BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 34690046)

  • 1. Early prediction of severe acute pancreatitis using machine learning.
    Thapa R; Iqbal Z; Garikipati A; Siefkas A; Hoffman J; Mao Q; Das R
    Pancreatology; 2022 Jan; 22(1):43-50. PubMed ID: 34690046
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Building and verifying a severity prediction model of acute pancreatitis (AP) based on BISAP, MEWS and routine test indexes.
    Ye JF; Zhao YX; Ju J; Wang W
    Clin Res Hepatol Gastroenterol; 2017 Oct; 41(5):585-591. PubMed ID: 28918932
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis].
    Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Clinical significance of melatonin concentrations in predicting the severity of acute pancreatitis.
    Jin Y; Lin CJ; Dong LM; Chen MJ; Zhou Q; Wu JS
    World J Gastroenterol; 2013 Jul; 19(25):4066-71. PubMed ID: 23840154
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of the BISAP score in predicting severity and prognoses of acute pancreatitis in Chinese patients.
    Chen L; Lu G; Zhou Q; Zhan Q
    Int Surg; 2013; 98(1):6-12. PubMed ID: 23438270
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals.
    Yin M; Zhang R; Zhou Z; Liu L; Gao J; Xu W; Yu C; Lin J; Liu X; Xu C; Zhu J
    Front Cell Infect Microbiol; 2022; 12():886935. PubMed ID: 35755847
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of the severity of acute pancreatitis using machine learning models.
    Zhou Y; Han F; Shi XL; Zhang JX; Li GY; Yuan CC; Lu GT; Hu LH; Pan JJ; Xiao WM; Yao GH
    Postgrad Med; 2022 Sep; 134(7):703-710. PubMed ID: 35801388
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis.
    Luo Z; Shi J; Fang Y; Pei S; Lu Y; Zhang R; Ye X; Wang W; Li M; Li X; Zhang M; Xiang G; Pan Z; Zheng X
    J Gastroenterol Hepatol; 2023 Mar; 38(3):468-475. PubMed ID: 36653317
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of a risk prediction score for the severity of acute hypertriglyceridemic pancreatitis in Chinese patients.
    Liu ZY; Tian L; Sun XY; Liu ZS; Hao LJ; Shen WW; Gao YQ; Zhai HH
    World J Gastroenterol; 2022 Sep; 28(33):4846-4860. PubMed ID: 36156930
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Usefulness of the Bedside Index for severity in acute pancreatitis in the early prediction of severity and mortality in acute pancreatitis.
    Cho YS; Kim HK; Jang EC; Yeom JO; Kim SY; Yu JY; Kim YJ; Do KR; Kim SS; Chae HS
    Pancreas; 2013 Apr; 42(3):483-7. PubMed ID: 23429493
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Neutrophil-Creatinine Index: A New Prognostic Factor for Severity of Acute Pancreatitis.
    Sahin A
    Medicina (Kaunas); 2024 Apr; 60(4):. PubMed ID: 38674253
    [No Abstract]   [Full Text] [Related]  

  • 12. Comparison of the BISAP scores for predicting the severity of acute pancreatitis in Chinese patients according to the latest Atlanta classification.
    Zhang J; Shahbaz M; Fang R; Liang B; Gao C; Gao H; Ijaz M; Peng C; Wang B; Niu Z; Niu J
    J Hepatobiliary Pancreat Sci; 2014 Sep; 21(9):689-694. PubMed ID: 24850587
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Predictive value of serum chlorine and interleukin-6 combined with coagulation indexes on severity of severe acute pancreatitis].
    Cui H; Mei C; Cui M; He Q; Song Y; Cui Z; Zhu C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Dec; 34(12):1301-1304. PubMed ID: 36567587
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of radiological scoring systems, clinical scores, neutrophil-lymphocyte ratio and serum C-reactive protein level for severity and mortality in acute pancreatitis.
    Gezer NS; Bengi G; Baran A; Erkmen PE; Topalak ÖS; Altay C; Dicle O
    Rev Assoc Med Bras (1992); 2020 Jun; 66(6):762-770. PubMed ID: 32696885
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting and evaluation the severity in acute pancreatitis using a new modeling built on body mass index and intra-abdominal pressure.
    Fei Y; Gao K; Tu J; Wang W; Zong GQ; Li WQ
    Am J Surg; 2018 Aug; 216(2):304-309. PubMed ID: 28888465
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accurate prediction of acute pancreatitis severity with integrative blood molecular measurements.
    Sun HW; Lu JY; Weng YX; Chen H; He QY; Liu R; Li HP; Pan JY; Shi KQ
    Aging (Albany NY); 2021 Mar; 13(6):8817-8834. PubMed ID: 33714951
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of scoring systems in predicting the severity of acute pancreatitis.
    Cho JH; Kim TN; Chung HH; Kim KH
    World J Gastroenterol; 2015 Feb; 21(8):2387-94. PubMed ID: 25741146
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The BISAP score, NLR, CRP, or BUN: Which marker best predicts the outcome of acute pancreatitis?
    Dancu GM; Popescu A; Sirli R; Danila M; Bende F; Tarta C; Sporea I
    Medicine (Baltimore); 2021 Dec; 100(51):e28121. PubMed ID: 34941057
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis.
    Liu F; Yao J; Liu C; Shou S
    BMC Surg; 2023 Sep; 23(1):267. PubMed ID: 37658375
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of BISAP, Ranson's, APACHE-II, and CTSI scores in predicting organ failure, complications, and mortality in acute pancreatitis.
    Papachristou GI; Muddana V; Yadav D; O'Connell M; Sanders MK; Slivka A; Whitcomb DC
    Am J Gastroenterol; 2010 Feb; 105(2):435-41; quiz 442. PubMed ID: 19861954
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.