计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 524-530.doi: 10.11896/jsjkx.200400062
韩成成1,2, 林强1,2, 满正行1,2, 曹永春1,2, 王海军3, 王维兰4
HAN Cheng-cheng1,2, LIN Qiang1,2, MAN Zheng-xing1,2, CAO Yong-chun1,2, WANG Hai-jun3, WANG Wei-lan4
摘要: 医学影像是现代临床医学疾病诊治不可或缺的重要组成部分,SPECT是功能影像的主要成像技术,广泛应用于肿瘤骨转移等疾病的诊治。SPECT诊断报告文本包含患者个人信息、图像描述和建议性结果等几个方面的信息。为准确提取SPECT核医学骨显像诊断文本中疾病与其表征之间的关联关系,研究并提出基于数据挖掘的核医学文本关联规则挖掘方法。首先,针对核医学诊断文本可能包含的信息冗余、数据缺失及表述不一致等问题,提出SPECT核医学诊断文本的预处理及统一编码方法;然后,应用经典的关联规则挖掘算法Apriori,提出病灶与表征之间关联的挖掘算法;最后,使用一组源自三甲医院核医学科的真实SPECT核医学诊断文本数据,验证了所提出的方法。结果表明,提出的方法客观提取了疾病与其表征之间的关联,获得的客观性评价指标平均值不低于90%。
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