The overcoming of liver cancer is a major problem urgently to be solved by the World Health Organization.The emergence of precision medicine brings hope to improving the level of diagnosis and treatment of liver cance...The overcoming of liver cancer is a major problem urgently to be solved by the World Health Organization.The emergence of precision medicine brings hope to improving the level of diagnosis and treatment of liver cancer,but it is difficult for clinicians to effectively analyze and integrate a large amount of data from multiple dimensions and angles of precision medicine,so it is difficult totthem to provide the best treatment plan for liver cancer patients.Artificial neural networks have powerful integration,analysis and autonomous learning capabilities,which can effectively improve the accuracy of diagnosis,staging,prognosis and treatment of liver cancer patients,and are of great significance to the development of precision medicine for liver cancer.Therefore,this article reviews the application status of Artificial neural networks in the field of liver cancer.展开更多
目的:运用数据挖掘技术分析蓝青强教授治疗慢性胃炎(chronic gastritis,CG)的处方用药规律,为CG临床用药提供参考。方法:选择蓝青强教授门诊治疗CG的病例为研究对象,收集病例相关信息及处方用药,建立方药数据库,录入中医传承辅助平台软...目的:运用数据挖掘技术分析蓝青强教授治疗慢性胃炎(chronic gastritis,CG)的处方用药规律,为CG临床用药提供参考。方法:选择蓝青强教授门诊治疗CG的病例为研究对象,收集病例相关信息及处方用药,建立方药数据库,录入中医传承辅助平台软件(TCMISS V 2.5)进行数据分析,通过关联规则、互信息法、熵聚类算法分析等数据挖掘技术获得蓝青强教授治疗CG的高频中药及核心配伍,从中探寻用药规律及发掘候选新方。结果:共纳入207首处方,使用频次≥40次的中药共21味包括黄芪、白术、太子参、茯苓、当归、陈皮、法半夏、柴胡、淫羊藿、苍术等;其中以补益药、利水渗湿药、理气药为主,临证加减使用活血化瘀药、清热药、化湿药、祛风湿药、止血药、消食药、安神药、泻下药等;药性以温、凉、平为主,药味以甘、淡、苦为主,归经以脾、胃、肝经为主。常用药对39对包括茯苓-白术、茯苓-黄芪、茯苓-太子参等;强关联规则24条包括茯苓、白术→黄芪,茯苓、白术→丹参等;候选新处方8个包括白芍、柴胡、紫苏梗、太子参、法半夏等。结论:蓝青强教授治疗CG临证用药以健运脾胃为本,消滞和胃为标,重视调气活血,疏肝利胆,选用药物多归脾、胃、肝经,性味多温、凉、甘,功效以补益、渗湿、理气为主,随证加减活血化瘀、清热、祛风、止血、消食、安神等药。展开更多
基金National Natural Science Foundation of China(No.81860790)Guangxi Science and Technology Project(No.AB20297002)+4 种基金Natural Science Foundation of Guangxi(No.2020gxNSFAA297160)Natural Science Foundation of Guangxi(No.2018gXNSFBA050050)Guangxi First-class Discipline of Integrated Chinese and Western Medicine(No.2019XK159)Graduate Education Innovation Program(No.YCBXJ2021020)Special Fund for Guangxi Special Experts[Guangxi Talent Pass Word(2019)No.13]。
文摘The overcoming of liver cancer is a major problem urgently to be solved by the World Health Organization.The emergence of precision medicine brings hope to improving the level of diagnosis and treatment of liver cancer,but it is difficult for clinicians to effectively analyze and integrate a large amount of data from multiple dimensions and angles of precision medicine,so it is difficult totthem to provide the best treatment plan for liver cancer patients.Artificial neural networks have powerful integration,analysis and autonomous learning capabilities,which can effectively improve the accuracy of diagnosis,staging,prognosis and treatment of liver cancer patients,and are of great significance to the development of precision medicine for liver cancer.Therefore,this article reviews the application status of Artificial neural networks in the field of liver cancer.
文摘目的:运用数据挖掘技术分析蓝青强教授治疗慢性胃炎(chronic gastritis,CG)的处方用药规律,为CG临床用药提供参考。方法:选择蓝青强教授门诊治疗CG的病例为研究对象,收集病例相关信息及处方用药,建立方药数据库,录入中医传承辅助平台软件(TCMISS V 2.5)进行数据分析,通过关联规则、互信息法、熵聚类算法分析等数据挖掘技术获得蓝青强教授治疗CG的高频中药及核心配伍,从中探寻用药规律及发掘候选新方。结果:共纳入207首处方,使用频次≥40次的中药共21味包括黄芪、白术、太子参、茯苓、当归、陈皮、法半夏、柴胡、淫羊藿、苍术等;其中以补益药、利水渗湿药、理气药为主,临证加减使用活血化瘀药、清热药、化湿药、祛风湿药、止血药、消食药、安神药、泻下药等;药性以温、凉、平为主,药味以甘、淡、苦为主,归经以脾、胃、肝经为主。常用药对39对包括茯苓-白术、茯苓-黄芪、茯苓-太子参等;强关联规则24条包括茯苓、白术→黄芪,茯苓、白术→丹参等;候选新处方8个包括白芍、柴胡、紫苏梗、太子参、法半夏等。结论:蓝青强教授治疗CG临证用药以健运脾胃为本,消滞和胃为标,重视调气活血,疏肝利胆,选用药物多归脾、胃、肝经,性味多温、凉、甘,功效以补益、渗湿、理气为主,随证加减活血化瘀、清热、祛风、止血、消食、安神等药。
