1. Vom J, Williams I. Justification of radiographic examinations: what are the key issues? J Med Radiat Sci 2017;64(3):212-219. PMID:
28188698.
2. Mendelson RM, Montgomery BD. Towards appropriate imaging: tips for practice. Aust Fam Physician 2016;45(6):391-395. PMID:
27622229.
3. Fatahi N, Krupic F, Hellstrom M. Quality of radiologists' communication with other clinicians: as experienced by radiologists. Patient Educ Couns 2015;98(6):722-727. PMID:
25766732.
4. Pitman AG. Quality of referral: what information should be included in a request for diagnostic imaging when a patient is referred to a clinical radiologist? J Med Imaging Radiat Oncol 2017;61(3):299-303. PMID:
28139044.
5. Kamel PI, Nagy PG. Patient-centered radiology with FHIR: an introduction to the use of FHIR to offer radiology a clinically integrated platform. J Digit Imaging 2018;31(3):327-333. PMID:
29725963.
6. Kyburg HE. Reviewed work: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference by Judea Pearl. J Philos 1991;88(8):434-447.
7. Korb KB, Nicholson AE. Bayesian artificial intelligence. 2nd ed. Boca Raton (FL): CRC Press; 2011.
8. Bayes T. An essay towards solving a problem in the doctrine of chances. 1763. MD Comput 1991;8(3):157-171. PMID:
1857193.
9. Benndorf M, Kotter E, Langer M, Herda C, Wu Y, Burnside ES. Development of an online, publicly accessible naive Bayesian decision support tool for mammographic mass lesions based on the American College of Radiology (ACR) BI-RADS lexicon. Eur Radiol 2015;25(6):1768-1775. PMID:
25576230.
10. Liu YI, Kamaya A, Desser TS, Rubin DL. A Bayesian network for differentiating benign from malignant thyroid nodules using sonographic and demographic features. AJR Am J Roentgenol 2011;196(5):W598-W605. PMID:
21512051.
11. Thomsen LP, Weinreich UM, Karbing DS, Helbo Jensen VG, Vuust M, Frokjaer JB, et al. Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data? Comput Methods Programs Biomed 2013;110(3):361-368. PMID:
23466076.
12. Sakai S, Kobayashi K, Nakamura J, Toyabe S, Akazawa K. Accuracy in the diagnostic prediction of acute appendicitis based on the Bayesian network model. Methods Inf Med 2007;46(6):723-726. PMID:
18066425.
13. Reddan T, Corness J, Harden F, Mengersen K. Improving the value of ultrasound in children with suspected appendicitis: a prospective study integrating secondary sonographic signs. Ultrasonography 2019;38(1):67-75. PMID:
30016853.
14. Pourret O, Naim P, Marcot B. Bayesian networks: a practical guide to applications. Chichester, UK: John Wiley & Sons Ltd.; 2008.
15. Constantinou AC, Fenton N, Neil M. Integrating expert knowledge with data in Bayesian networks: preserving data-driven expectations when the expert variables remain unobserved. Expert Syst Appl 2016;56:197-208. PMID:
27378822.
16. Reddan T, Corness J, Mengersen K, Harden F. Sonographic diagnosis of acute appendicitis in children: a 3-year retrospective. Sonography 2016;3(3):87-94.
17. Reddan T, Corness J, Harden F, Mengersen K. Analysis of the predictive value of clinical and sonographic variables in children with suspected acute appendicitis using decision tree algorithms. Sonography 2018;5(4):157-163.
18. Salo M, Friman G, Stenstrom P, Ohlsson B, Arnbjornsson E. Appendicitis in children: evaluation of the pediatric appendicitis score in younger and older children. Surg Res Pract 2014;2014:438076. PMID:
25574500.
19. Samuel M. Pediatric appendicitis score. J Pediatr Surg 2002;37(6):877-881. PMID:
12037754.
20. Kwan KY, Nager AL. Diagnosing pediatric appendicitis: usefulness of laboratory markers. Am J Emerg Med 2010;28(9):1009-1015. PMID:
20825931.
21. Salari AA, Binesh F. Diagnostic value of anorexia in acute appendicitis. Pak J Med Sci 2007;23(1):68-70.
22. Bhatt M, Joseph L, Ducharme FM, Dougherty G, McGillivray D. Prospective validation of the pediatric appendicitis score in a Canadian pediatric emergency department. Acad Emerg Med 2009;16(7):591-596. PMID:
19549016.
23. Linting M, Meulman JJ, Groenen PJ, van der Koojj AJ. Nonlinear principal components analysis: introduction and application. Psychol Methods 2007;12(3):336-358. PMID:
17784798.
24. Linting M, van der Kooij A. Nonlinear principal components analysis with CATPCA: a tutorial. J Pers Assess 2012;94(1):12-25. PMID:
22176263.
25. Mostbeck G, Adam EJ, Nielsen MB, Claudon M, Clevert D, Nicolau C, et al. How to diagnose acute appendicitis: ultrasound first. Insights Imaging 2016;7(2):255-263. PMID:
26883138.
26. Pitchforth J, Mengersen K. A proposed validation framework for expert elicited Bayesian networks. Expert Syst Appl 2013;40(1):162-167.
27. Rothrock SG, Pagane J. Acute appendicitis in children: emergency department diagnosis and management. Ann Emerg Med 2000;36(1):39-51. PMID:
10874234.
28. Reddan T, Corness J, Mengersen K, Harden F. Ultrasound of paediatric appendicitis and its secondary sonographic signs: providing a more meaningful finding. J Med Radiat Sci 2016;63(1):59-66. PMID:
27087976.
29. Bickell NA, Aufses AH Jr, Rojas M, Bodian C. How time affects the risk of rupture in appendicitis. J Am Coll Surg 2006;202(3):401-406. PMID:
16500243.
30. Howell EC, Dubina ED, Lee SL. Perforation risk in pediatric appendicitis: assessment and management. Pediatric Health Med Ther 2018;9:135-145. PMID:
30464677.
31. Reddan T, Corness J, Harden F, Mengersen K. Paediatric appendiceal ultrasound: a survey of Australasian sonographers' opinions on examination performance and sonographic criteria. J Med Radiat Sci 2018;65(4):267-274. PMID:
30370623.
32. Cundy TP, Gent R, Frauenfelder C, Lukic L, Linke RJ, Goh DW. Benchmarking the value of ultrasound for acute appendicitis in children. J Pediatr Surg 2016;51(12):1939-1943. PMID:
27670963.
33. Held JM, McEvoy CS, Auten JD, Foster SL, Ricca RL. The non-visualized appendix and secondary signs on ultrasound for pediatric appendicitis in the community hospital setting. Pediatr Surg Int 2018;34(12):1287-1292. PMID:
30293146.
34. Alter SM, Walsh B, Lenehan PJ, Shih RD. Ultrasound for diagnosis of appendicitis in a community hospital emergency department has a high rate of nondiagnostic studies. J Emerg Med 2017;52(6):833-838. PMID:
28258881.