The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease

Table 3

Top 20 Improved Apriori algorithm-based association rules of Chinese medicines.

No.	LHS	RHS	Support	Confidence	Coverage	Lift	Count
[1]	(Shengshigao)	-> (Xingren)	0.15126050	0.7346939	0.20588235	2.534161	36
[2]	(Tinglizi) ->	(Shengshigao)	0.10504202	0.8620690	0.12184874	4.187192	25
[3]	(Fabanxia)	-> (Fuling)	0.10504202	0.7352941	0.14285714	2.573529	25
[4]	(Tinglizi)	-> (Xingren)	0.09663866	0.7931034	0.12184874	2.735632	23
[5]	(Chishao)	-> (Gancao)	0.09243697	0.8461538	0.10924370	2.165426	22
[6]	(Shengdihuang)	->(Shengshigao)	0.09243697	0.7857143	0.11764706	3.816327	22
[7]	(Caoguo)	-> (Cangzhu)	0.08823529	0.7000000	0.12605042	3.702222	21
[8]	(Shengdihuang)	-> (Gancao)	0.08403361	0.7142857	0.11764706	1.827957	20
[9]	(Shengshigao, Tinglizi)	-> (Xingren)	0.08403361	0.8000000	0.10504202	2.759420	20
[10]	(Tinglizi, Xingren)	->(Shengshigao)	0.08403361	0.8695652	0.09663866	4.223602	20
[11]	(Mahuang)	-> (Xingren)	0.07983193	0.8636364	0.09243697	2.978920	19
[12]	(Fuling, Xingren)	-> (Huoxiang)	0.07983193	0.7600000	0.10504202	2.318974	19
[13]	(Huoxiang, Xingren)	-> (Fuling)	0.07983193	0.7600000	0.10504202	2.660000	19
[14]	(Wuweizi)	-> (Maidong)	0.07563025	0.7826087	0.09663866	3.801242	18
[15]	(Bohe)	-> (Lianqiao)	0.07563025	0.7826087	0.09663866	3.267735	18
[16]	(Binglang)	-> (Caoguo)	0.07142857	0.9444444	0.07563025	4.492593	17
[17]	(Baizhu)	-> (Chenpi)	0.06722689	0.8000000	0.08403361	3.022222	16
[18]	(Chenpi, Dangshen)	-> (Fuling)	0.06722689	0.8888889	0.07563025	3.111111	16
[19]	(Dangshen, Fuling)	-> (Chenpi)	0.06722689	0.8000000	0.08403361	3.022222	16
[20]	(Fuling, Houpu)	-> (Huoxiang)	0.06722689	0.7619048	0.08823529	2.324786	16