2,556
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Optimizing the Diagnostic Algorithm for Pulmonary Embolism in Acute COPD Exacerbation Using Fuzzy Rough Sets and Support Vector Machine

, &
Pages 1-8 | Received 03 Jan 2022, Accepted 18 Oct 2022, Published online: 03 Jan 2023

References

  • Chen WJ, Lin CC, Lin CY, et al. Pulmonary embolism in chronic obstructive pulmonary disease: a population-based cohort study. COPD. 2014;11(4):438–443. DOI:10.3109/15412555.2013.813927
  • Wang J, Ding YM. Prevalence and risk factors of pulmonary embolism in acute exacerbation of chronic obstructive pulmonary disease and its impact on outcomes: a systematic review and meta-analysis. Eur Rev Med Pharmacol Sci. 2021;25(6):2604–2616.
  • Swan D, Hitchen S, Klok FA, et al. The problem of under-diagnosis and over-diagnosis of pulmonary embolism. Thromb Res. 2019;177:122–129. DOI:10.1016/j.thromres.2019.03.012
  • Dentali F, Pomero F, Micco PD, et al. Prevalence and risk factors for pulmonary embolism in patients with suspected acute exacerbation of COPD: a multi-center study. Eur J Intern Med. 2020;80:54–59. DOI:10.1016/j.ejim.2020.05.006
  • Maritano Furcada J, Castro HM, De Vito EL, et al. Diagnosis of pulmonary embolism in patients with acute exacerbations of chronic obstructive pulmonary disease: a cross-sectional study. Clin Respir J. 2020;14(12):1176–1181. DOI:10.1111/crj.13257
  • Akpinar EE, Hoşgün D, Doğanay B, et al. Should the cut-off value of D-dimer be elevated to exclude pulmonary embolism in acute exacerbation of COPD. J Thorac Dis. 2013;5(4):430–434. DOI:10.3978/j.issn.2072-1439.2013.07.34
  • Wang J, Wan Z, Liu Q, et al. Predictive value of red blood cell distribution width in chronic obstructive pulmonary disease patients with pulmonary embolism. Anal Cell Pathol (Amst). 2020;2020:1935742. DOI:10.1155/2020/1935742
  • Białas AJ, Kornicki K, Ciebiada M, et al. Monocyte to large platelet ratio as a diagnostic tool for pulmonary embolism in patients with acute exacerbation of chronic obstructive pulmonary disease. Pol Arch Intern Med. 2018;128(1):15–23. DOI:10.20452/pamw.4141
  • Yuan Z, Chen H, Xie P, et al. Attribute reduction methods in fuzzy rough set theory: an overview, comparative experiments, and new directions. Appl Soft Comput. 2021;107:107353. DOI:10.1016/j.asoc.2021.107353
  • Hu R, Gan J, Zhu X, et al. Multi-task multi-modality SVM for early COVID-19 diagnosis using chest CT data. Inf Process Manage. 2022;59(1):102782. DOI:10.1016/j.ipm.2021.102782
  • Gao N, Tian S, Li X, et al. Three-dimensional texture feature analysis of pulmonary nodules in CT images: lung cancer predictive models based on support vector machine classifier. J Digit Imaging. 2020;33(2):414–422. DOI:10.1007/s10278-019-00238-8
  • Zhu Y, Tan Y, Hua Y, et al. Feature selection and performance evaluation of support vector machine (SVM)-based classifier for differentiating benign and malignant pulmonary nodules by computed tomography. J Digit Imaging. 2010;23(1):51–65. DOI:10.1007/s10278-009-9185-9
  • Vogelmeier CF, Criner GJ, Martinez FJ, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. Am J Respir Crit Care Med. 2017;195(5):557–582. DOI:10.1164/rccm.201701-0218PP
  • Konstantinides SV, Meyer G, Becattini C, et al. 2019 ESC guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the european respiratory society (ERS): the task force for the diagnosis and management of acute pulmonary embolism of the european society of cardiology (ESC). Eur Respir J. 2019;54(3):1901647. DOI:10.1183/13993003.01647-2019
  • Fernández C, Jiménez D, De Miguel J, et al. Enfermedad pulmonar obstructiva crónica en pacientes con tromboembolia de pulmón aguda sintomática. Arch Bronconeumol. 2009;45(6):286–290. DOI:10.1016/j.arbres.2008.10.008
  • Miron MJ, Perrier A, Bounameaux H, et al. Contribution of noninvasive evaluation to the diagnosis of pulmonary embolism in hospitalized patients. Eur Respir J. 1999;13(6):1365–1370. DOI:10.1183/09031936.99.13613719
  • Bounameaux H, de Moerloose P, Perrier A, et al. D-dimer testing in suspected venous thromboembolism: an update. QJM. 1997;90(7):437–442. DOI:10.1093/qjmed/90.7.437
  • Jurisic V, Radenkovic S, Konjevic G. The actual role of LDH as tumor marker, biochemical and clinical aspects. Adv Exp Med Biol. 2015;867:115–124. DOI:10.1007/978-94-017-7215-0_8
  • Ben SQ, Ni SS, Shen HH, et al. The dynamic changes of LDH isoenzyme 3 and D-dimer following pulmonary thromboembolism in canine. Thromb Res. 2007;120(4):575–583. DOI:10.1016/j.thromres.2006.12.015
  • Babaoglu E, Hasanoglu HC, Senturk A, et al. Importance of biomarkers in risk stratification of pulmonary thromboembolism patients. J Investig Med. 2014;62(2):328–331. DOI:10.2310/JIM.0000000000000041
  • Xue L, Tao L, Li X, et al. Plasma fibrinogen, D-dimer, and fibrin degradation product as biomarkers of rheumatoid arthritis. Sci Rep. 2021;11(1):16903. DOI:10.1038/s41598-021-96349-w
  • Mac Gillavry MR, de Monyé W, Lijmer JG, et al. Clinical evaluation of a monoclonal antibody-based enzyme immunoassay for fibrin degradation products in patients with clinically suspected pulmonary embolism. ANTELOPE-Study group. Thromb Haemost. 2000;83(6):892–895.