A Privacy Risk Assessment Model for Medical Big Data Based on Adaptive Neuro-Fuzzy Theory

Table 3

Parameters corresponding to each output function.

Output	Parameters
	[0.03051 0.01467 0.01683 0.12]
	[0.3774 0.1372–0.01363 0.02312]
	[0.443 0.4179–0.1277 -0.01897]
	[-0.03896 -0.0089 -0.03655 -0.03707]
	[0.485 0.2496–0.05756 0.07634]
	[0.5079 0.464–0.1796 0.006043]
	[0.5119 0.4787–0.1898 -0.001796]
	[0.2428 0.2227–0.2206 0.1825]
	[0.2414 0.2065–0.3251 0.2686]
	[0.5012 0.4815–0.1948 0.01095]
	[0.5215 0.4604–0.1868 0.01171]
	[0.467 0.3887–0.06568 -0.02206]
	[0.04532 0.1187 0.01707 0.1451]
	[0.2684 0.3431–0.1505 0.1398]
	[0.1355 0.2624 0.0368 0.1517]
	[0.004216 0.04936 0.09015 0.09087]
	[0.2995 0.4212–0.1542 0.08838]
	[0.489 0.5101–0.1965 0.002561]
	[0.4994 0.5166–0.1884 -0.00816]
	[0.2702 0.3696–0.1533 0.07767]
	[0.5031 0.482–0.2098 0.006902]
	[0.5007 0.5–0.2028 0.0005266]
	[0.5002 0.5053–0.203 -0.0004162]
	[0.482 0.4641–0.2138 0.03419]
	[0.4556 0.4782–0.1971 0.03202]
	[0.5022 0.4975–0.2002 0.0005379]
	[0.5049 0.5074–0.2001 -0.006636]
	[0.4858 0.4522–0.2018 0.03658]
	[0.0756 0.2806–0.06298 0.3443]
	[0.3788 0.4849–0.2036 0.06709]
	[0.4328 0.5311–0.1983 0.001309]
	[0.2548 0.3029–0.1321 0.2265]
	[0.3366 0.5211–0.1764 0.1085]
	[0.494 0.4967–0.1854 -0.0004179]
	[0.4941 0.5023–0.1875 -0.004024]
	[0.3509 0.3769–0.1338 0.06765]
	[0.5019 0.5005–0.1969 -0.002493]
	[0.5009 0.5012–0.1993 -0.0011]
	[0.4995 0.5–0.199 -0.0003297]
	[0.4913 0.4742–0.1929 0.01018]
	[0.4564 0.4871–0.2081 0.03637]
	[0.502 0.5049–0.2009 -0.003726]
	[0.5042 0.5–0.2006 -0.002425]
	[0.4889 0.4682–0.2055 0.03072]
	[0.3961 0.3408 0.03439 0.2079]
	[0.3897 0.5465–0.1283 0.007818]
	[0.4311 0.5097–0.1533 0.01045]
	[0.2762 0.249 0.0003293 0.1953
	[0.2775 0.01391 0.002306 0.2623]
	[0.4887 0.4925–0.1719 0.000453]
	[0.4912 0.4522–0.1474 -0.01305]
	[0.07887 0.01718 0.1357 0.1378]
	[0.4754 0.3644–0.2464 0.07633]
	[0.5056 0.492–0.2099 0.001454]
	[0.4954 0.4885–0.2105 0.01425]
	[0.5082 0.2743–0.2392 0.1156]
	[0.3531 0.364–0.1186 0.2152]
	[0.5056 0.4799–0.1823 -0.0004327]
	[0.5099 0.4738–0.1813 -0.005195]
	[0.4547 0.3052–0.1262 0.1013]
	[0.2633 0.2822 0.07883 0.3343]
	[0.2627 0.3892–0.02458 0.2768]
	[0.2915 0.2224–0.001363 0.2944]
	[0.2022 0.1827 0.2395 0.268]