TY - GEN
T1 - Preoperative Analysis for Clinical Features of Unsuspected Gallbladder Cancer Based on Random Forest
AU - Zhang, Zhen
AU - Li, Na
AU - Gao, Hengyi
AU - Cai, Zhiqiang
AU - Si, Shubin
AU - Geng, Zhimin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - With the incidence of unsuspected gallbladder cancer (UGC) increasing, the difference of preoperative features between unsuspected gallbladder cancer and gallbladder cancer diagnosed before operation arose doctors' attention recently. In this study, firstly, chi square test was adopted to analyze the difference of two groups and select out the difference variables. Then, the random forest was proposed to establish the classification model whose accuracy evaluated by area under curve was 0.7310. Meanwhile, the model identified the critical classification factors using variable importance, which adopted the method of mean decrease in accuracy. Finally, the results of two methods showed that clinical features of biliary calculi, cholecystolithiasis history, gallbladder polyps and family history of malignancy, serum CEA level, jaundice, cholecystitis history and abdominal pain were important factors in preoperative assessment of unsuspected gallbladder cancer. What's more, the feature of time of cholecystitis history should not be ignored for preoperative assessment of UGC patients.
AB - With the incidence of unsuspected gallbladder cancer (UGC) increasing, the difference of preoperative features between unsuspected gallbladder cancer and gallbladder cancer diagnosed before operation arose doctors' attention recently. In this study, firstly, chi square test was adopted to analyze the difference of two groups and select out the difference variables. Then, the random forest was proposed to establish the classification model whose accuracy evaluated by area under curve was 0.7310. Meanwhile, the model identified the critical classification factors using variable importance, which adopted the method of mean decrease in accuracy. Finally, the results of two methods showed that clinical features of biliary calculi, cholecystolithiasis history, gallbladder polyps and family history of malignancy, serum CEA level, jaundice, cholecystitis history and abdominal pain were important factors in preoperative assessment of unsuspected gallbladder cancer. What's more, the feature of time of cholecystitis history should not be ignored for preoperative assessment of UGC patients.
KW - data analysis
KW - preoperative assessment
KW - random forest
KW - Unsuspected gallbladder cancer
UR - http://www.scopus.com/inward/record.url?scp=85061804264&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2018.8607352
DO - 10.1109/IEEM.2018.8607352
M3 - 会议稿件
AN - SCOPUS:85061804264
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1160
EP - 1164
BT - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Y2 - 16 December 2018 through 19 December 2018
ER -
