Ciampi A, du Berger R, Taylor H G, Thiffault J
McGill University-Montreal Children's Hospital Research Institute, Quebec, Canada.
Comput Methods Programs Biomed. 1991 Sep;36(1):51-61. doi: 10.1016/0169-2607(91)90020-t.
The methodology of RECursive Partition and AMalgamation (RECPAM) previously presented in Parts I and II (A. Ciampi et al., Computer. Methods Progr. Biomed. 26 (1988) 239-256 and 30 (1989) 283-296) pursues its development with an application to predict long-term effects of a disease given a set of clinical information measured at the time of illness. This paper illustrates how RECPAM deals with a situation typical in Medical Informatics applied to data on Haemophilus influenzae type b meningitis.
先前在第一部分和第二部分(A. 钱皮等人,《计算机与生物医学方法进展》26 (1988) 239 - 256以及30 (1989) 283 - 296)中介绍的递归划分与合并方法(RECPAM),通过应用于根据疾病发生时所测量的一组临床信息来预测疾病的长期影响,继续其发展。本文阐述了RECPAM如何处理应用于b型流感嗜血杆菌脑膜炎数据的医学信息学中的一种典型情况。