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For: Yang Z, Dong L, Zhang Y, Yang C, Gou S, Li Y, Xiong J, Wu H, Wang C. Prediction of Severe Acute Pancreatitis Using a Decision Tree Model Based on the Revised Atlanta Classification of Acute Pancreatitis. PLoS One 2015;10:e0143486. [PMID: 26580397 DOI: 10.1371/journal.pone.0143486] [Cited by in Crossref: 18] [Cited by in F6Publishing: 23] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Luo J, Lan L, Huang S, Zeng X, Xiang Q, Li M, Yang S, Zhao W, Zhou X. Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data. J Biomed Inform 2023;139:104310. [PMID: 36773821 DOI: 10.1016/j.jbi.2023.104310] [Reference Citation Analysis]
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3 Dekeryte I, Zviniene K, Bieliuniene E, Dambrauskas Z, Ignatavicius P. Volume, but Not the Location of Necrosis, Is Associated with Worse Outcomes in Acute Pancreatitis: A Prospective Study. Medicina (Kaunas) 2022;58. [PMID: 35630062 DOI: 10.3390/medicina58050645] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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5 Zhou Y, Ge YT, Shi XL, Wu KY, Chen WW, Ding YB, Xiao WM, Wang D, Lu GT, Hu LH. Machine learning predictive models for acute pancreatitis: A systematic review. Int J Med Inform 2022;157:104641. [PMID: 34785488 DOI: 10.1016/j.ijmedinf.2021.104641] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
6 Koçkan E, Doğan NÖ, Pekdemir M, Yılmaz S, Yaka E. Predictors of prolonged hospitalization in patients with mild and moderate pancreatitis presenting to the emergency department. Med Klin Intensivmed Notfmed 2021. [PMID: 34455458 DOI: 10.1007/s00063-021-00855-8] [Reference Citation Analysis]
7 Cui X, Heuvelmans MA, Sidorenkov G, Zhao Y, Fan S, Groen HJM, Dorrius MD, Oudkerk M, de Bock GH, Vliegenthart R, Ye Z. A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population. J Thorac Dis 2021;13:4407-17. [PMID: 34422367 DOI: 10.21037/jtd-21-588] [Reference Citation Analysis]
8 Alves JR, Ferrazza GH, Nunes Junior IN, Teive MB. THE ACCEPTANCE OF CHANGES IN THE MANAGEMENT OF PATIENTS WITH ACUTE PANCREATITIS AFTER THE REVISED ATLANTA CLASSIFICATION. Arq Gastroenterol 2021;58:17-25. [PMID: 33909792 DOI: 10.1590/S0004-2803.202100000-05] [Reference Citation Analysis]
9 Feng Z, Shen H, Gao K, Su J, Yao S, Liu Q, Yan Z, Duan J, Yi D, Zhao H, Li H, Yu Q, Zhou W, Mao X, Ouyang X, Mei J, Zeng Q, Williams L, Ma X, Rong P, Hu D, Wang W. Machine learning based on clinical characteristics and chest CT quantitative measurements for prediction of adverse clinical outcomes in hospitalized patients with COVID-19. Eur Radiol 2021. [PMID: 33856514 DOI: 10.1007/s00330-021-07957-z] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
10 Bedel C, Korkut M, Selvi F. New markers in predicting the severity of acute pancreatitis in the emergency department: Immature granulocyte count and percentage. J Postgrad Med 2021;67:7-11. [PMID: 33533745 DOI: 10.4103/jpgm.JPGM_784_20] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
11 Zhao Z, Yu Y, Xie R, Yang K, Xu D, Li L, Lin J, Zheng L, Zhang C, Xu X, Chen Y, Xu Z, Chen E, Luo M, Fei J. Prognostic value of the creatinine-albumin ratio in acute pancreatitis debridement. BMC Surg 2020;20:322. [PMID: 33298030 DOI: 10.1186/s12893-020-00991-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
12 Jin D, Tan J, Jiang J, Philips D, Liu L. The early predictive value of routine laboratory tests on the severity of acute pancreatitis patients in pregnancy: a retrospective study. Sci Rep 2020;10:10087. [PMID: 32572085 DOI: 10.1038/s41598-020-66921-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
13 Yasuda H, Horibe M, Sanui M, Sasaki M, Suzuki N, Sawano H, Goto T, Ikeura T, Takeda T, Oda T, Ogura Y, Miyazaki D, Kitamura K, Chiba N, Ozaki T, Yamashita T, Koinuma T, Oshima T, Yamamoto T, Hirota M, Sato M, Miyamoto K, Mine T, Misumi T, Takeda Y, Iwasaki E, Kanai T, Mayumi T. Etiology and mortality in severe acute pancreatitis: A multicenter study in Japan. Pancreatology 2020;20:307-17. [PMID: 32198057 DOI: 10.1016/j.pan.2020.03.001] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 4.7] [Reference Citation Analysis]
14 Cui X, Heuvelmans MA, Fan S, Han D, Zheng S, Du Y, Zhao Y, Sidorenkov G, Groen HJM, Dorrius MD, Oudkerk M, de Bock GH, Vliegenthart R, Ye Z. A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma. Clin Lung Cancer 2020;21:314-325.e4. [PMID: 32273256 DOI: 10.1016/j.cllc.2020.01.014] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
15 Jiang X, Su Z, Wang Y, Deng Y, Zhao W, Jiang K, Sun C. Prognostic nomogram for acute pancreatitis patients: An analysis of publicly electronic healthcare records in intensive care unit. Journal of Critical Care 2019;50:213-20. [DOI: 10.1016/j.jcrc.2018.10.030] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 3.5] [Reference Citation Analysis]
16 Önmez A, Bilir E, Torun S. Akut pankreatit şiddeti ile trombosit lenfosit oranı, nötrofil lenfosit oranı, eritrosit dağılım genişliği ve ortalama platelet volümü arasındaki ilişki. Konuralp Tıp Dergisi 2019. [DOI: 10.18521/ktd.492274] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
17 Shao CY, Liu KC, Li CL, Cong ZZ, Hu LW, Luo J, Diao YF, Xu Y, Ji SG, Qiang Y, Shen Y. C-reactive protein to albumin ratio is a key indicator in a predictive model for anastomosis leakage after esophagectomy: Application of classification and regression tree analysis. Thorac Cancer 2019;10:728-37. [PMID: 30734487 DOI: 10.1111/1759-7714.12990] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
18 Zhang S, Zhang K, Yu Y, Tian B, Cui W, Zhang G. A new prediction model for assessing the clinical outcomes of ICU patients with community-acquired pneumonia: a decision tree analysis. Ann Med 2019;51:41-50. [PMID: 30160553 DOI: 10.1080/07853890.2018.1518580] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
19 Choi HW, Park HJ, Choi S, Do JH, Yoon NY, Ko A, Lee ES. Early Prediction of the Severity of Acute Pancreatitis Using Radiologic and Clinical Scoring Systems With Classification Tree Analysis. American Journal of Roentgenology 2018;211:1035-43. [DOI: 10.2214/ajr.18.19545] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
20 Ye C, Wang R, Wang M, Huang Z, Tang C. Leptin alleviates intestinal mucosal barrier injury and inflammation in obese mice with acute pancreatitis. Int J Obes (Lond) 2018;42:1471-9. [PMID: 29934609 DOI: 10.1038/s41366-018-0125-y] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 3.2] [Reference Citation Analysis]
21 Jabaudon M, Belhadj-tahar N, Rimmelé T, Joannes-boyau O, Bulyez S, Lefrant J, Malledant Y, Leone M, Abback P, Tamion F, Dupont H, Lortat-jacob B, Guerci P, Kerforne T, Cinotti R, Jacob L, Verdier P, Dugernier T, Pereira B, Constantin J. Thoracic Epidural Analgesia and Mortality in Acute Pancreatitis: A Multicenter Propensity Analysis. Critical Care Medicine 2018;46:e198-205. [DOI: 10.1097/ccm.0000000000002874] [Cited by in Crossref: 35] [Cited by in F6Publishing: 40] [Article Influence: 7.0] [Reference Citation Analysis]
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24 Birjandi M, Ayatollahi SM, Pourahmad S. The Reliability of Classification of Terminal Nodes in GUIDE Decision Tree to Predict the Nonalcoholic Fatty Liver Disease. Comput Math Methods Med 2016;2016:3874086. [PMID: 28053651 DOI: 10.1155/2016/3874086] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]