tailieunhanh - Báo cáo y học: "Diagnostic accuracy of pattern differentiation algorithm based on Chinese medicine theory: a stochastic simulation study"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Diagnostic accuracy of pattern differentiation algorithm based on Chinese medicine theory: a stochastic simulation study. | Chinese Medicine BioMed Central Research Diagnostic accuracy of pattern differentiation algorithm based on Chinese medicine theory a stochastic simulation study Arthur Sá Ferreira1 2 Address Department of Rehabilitation Science Centro Universitário Augusto Motta Av. Paris 72 Bonsucesso Rio de Janeiro BR CEP 21041-020 Brazil and 2Department of Physical Therapy Universidade Salgado de Oliveira Rua Marechal Deodoro 263 Niterói Rio de Janeiro BR CEP 24030-060 Brazil Email Arthur Sá Ferreira - arthur_sf@ Open Access Published 21 December 2009 Received 4 June 2009 Accepted 21 December 2009 Chinese Medicine 2009 4 24 doi 86 1749-8546-4-24 This article is available from http content 4 1 24 2009 Ferreira licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Clinical practice of Chinese medicine requires little information for differentiation of Zang-fu patterns. This study is to test the impact of information amount on the diagnostic accuracy of pattern differentiation algorithm PDA using stochastic simulation of cases. Methods A dataset with 69 Zang-fu single patterns was used with manifestations according to the Four Examinations namely inspection Ip auscultation and olfaction AO inquiry Iq and palpation P . A variable quantity of available information N was randomly sampled to generate 100 true positive and 100 true negative manifestation profiles per pattern to which PDA was applied. Four runs of simulations were used according to the Four Examinations Ip Ip AO Ip AO Iq and Ip AO Iq P. The algorithm performed pattern differentiation by ranking a list of diagnostic hypotheses by the amount of explained information F . Accuracy sensitivity specificity and negative and positive .