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Table 4 Diagnostic accuracy according to the examinations

From: Diagnostic accuracy of pattern differentiation algorithm based on Chinese medicine theory: a stochastic simulation study

Methods Ip Ip+AO Ip+AO+Iq Ip+AO+Iq+P
(Four Examinations)
Criterion N% N%-52.0% N% N%-51.5% N% N%-33.5% N% N%-28.5%
N simulated 13800 13800 13800 13800 13800 13800 13800 13800
N missing* 200 200 200 200 0 0 0 0
N valid 13600 13600 13600 13600 13800 13800 13800 13800
   TP 3033 3349 3502 4021 5791 6085 5951 6199
   FP 46 40 37 44 25 33 18 35
   FN 3767 3451 3298 2779 1109 815 949 701
   TN 6754 6760 6763 6756 6875 6867 6882 6865
Accuracy 72.0%
(71.2;72.7)
74.3%
(73.6;75.1)
75.5%
(74.8;76.2)
79.2%
(78.6;79.9)
91.8%
(91.3;92.3)
93.9%
(93.5;94.3)
93.0%
(92.6;93.4)
94.7%
(94.3;95.1)
Sensitivity 44.6%
(43.4;45.8)
49.2%
(48.1;50.4)
51.5%
(50.3;52.7)
59.1%
(58.0;60.3)
83.9%
(83.1;84.8)
88.2%
(87.4;88.9)
86.2%
(85.4;87;1)
89.8%
(89.1;90.6)
Specificity 99.3%
(99.1;99.5)
99.4%
(99.2;99.6)
99.5%
(99.3;99.6)
99.4%
(99.2;99.5)
99.6%
(99.5;99.8)
99.5%
(99.4;99.7)
99.7%
(99.6;99.9)
99.5%
(99.3;99.7)
Predictive value (-) 64.2%
(63.3;65.1)
66.2%
(65.3;67.1)
67.2%
(66.3;68.2)
70.9%
(70.0;71.8)
86.1%
(85.4;86.9)
89.4%
(88.7;90.1)
87.9%
(87.2;88.6)
90.7%
(90.1;91.4)
Predictive value (+) 98.5%
(98.1;99.0)
98.8%
(98.4;99.2)
99.0%
(98.7;99.3)
98,9%
(98.6;99.3)
99.6%
(99.4;99.8)
99.5%
(99.3;99.7)
99.7%
(99.6;99.9)
99.4%
(99.3;99.7)
  1. Ip: inspection, AO: auscultation-olfaction, Iq: inquiry, P: palpation, TP: true positive, FP: false positive, FN: false negative, TN: true negative, N: number of cases, N%: quantity of available information
  2. Note: Missing cases are due to absence of manifestations describing the inspection method.