Research Article

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning

Table 2

Statistical analysis of tongue diagnosis data (mean (SD), median (P25, P75)).

DomainColor spaceIndexHealthy controls ()Qi deficiency syndrome ()Yin deficiency syndrome ()

TBLabTB-L103.99 (100.81-108.79)96.31 (75.15-102.89)99.83 (80.51-103.24)
TB-a##
TB-b4.76 (0.82-7.00)7.04 (5.47-8.28)7.04 (5.47-8.28)
HISTB-H176.22 (168.50-180.95)180.00 (177.98-182.83)180.00 (177.98-182.83)
TB-S0.17 (0.16-0.20)0.17 (0.15-0.19)0.17 (0.15-0.19)##
TB-I117.00 (108.00-132.00)116.00 (109.00-126.00)116.00 (109.00-126.00)
YCrCbTB-Y114.98 (107.03-126.56)114.35 (106.900-123.72)114.35 (106.900-123.72
TB-Cr##
TB-Cb121.61 (119.75-124.82)119.84 (118.53-120.99)119.27 (118.09-120.57)
Texture indexTB-CON71.47 (46.96-99.54)74.56 (48.28-94.64)60.96 (45.32-86.08)
TB-ASM0.08 (0.07-0.10)0.07 (0.07-0.09)0.09 (0.07-0.10)
TB-MEAN0.03 (0.02-0.03)0.03 (0.02-0.03)0.02 (0.02-0.03)
TB-ENT1.21 (1.11-1.28)1.22 (1.12-1.28)1.17 (1.10-1.25)
TCLabTC-L109.24 (104.97-113.54)89.38 (76.22-104.87)95.35 (82.53-105.08)
TC-a##
TC-b2.71(-1.16-5.32)5.59 (4.24-6.62)5.86 (4.35-7.26)
HISTC-H176.70 (162.43-183.25)183.00 (180.00-186.35)182.58 (178.64-185.72)
TC-S0.11 (0.09-0.13)0.12 (0.10-0.14)0.13 (0.11-0.17)##
TC-I130.00 (117.00-142.75)119.00 (99.00-135.00)115.00 (92.75-133.00)
YCrCbTC-Y126.78 (115.63-137.70)118.65 (99.72-132.07)114.02 (95.19-129.53)
TC-Cr142.89 (140.89-145.181)143.97 (142.27-146.51)145.49 (143.00-148.79)##
TC-Cb123.90 (121.54-127.61)121.36 (120.34-122.81)121.35 (120.01-122.67)
Area indexperAll0.54 (0.43-0.69)0.44 (0.34-0.50)0.38 (0.21-0.50)#
perPart1.09 (1.02-1.22)1.24 (1.11-1.42)1.28 (1.11-1.57)
Texture indexTC-CON89.27 (62.31-124.17)83.13 (63.82-123.30)71.53 (44.56-115.98)##
TC-ASM0.07 (0.06-0.08)0.07 (0.06-0.08)0.08 (0.06-0.10)##
TC-MEAN0.03 (0.02-0.03)0.03 (0.02-0.03)0.03 (0.02-0.03)##
TC-ENT1.26 (1.18-1.34)1.25 (1.18-1.34)1.21 (1.09-1.31)##

vs. healthy controls, , vs. healthy controls, . vs. Qi deficiency syndrome, #, vs. Qi deficiency syndrome, ##.