@inproceedings{7975dac36d314f4096e3142ec7eba85c,
title = "Cancer epidemiology of small communities: Using a novel approach to detecting clusters",
abstract = "Cancer cluster detection in small communities is an important but complicated field of cancer epidemiology, due to large statistical errors of both types associated with the detection. In this paper, authors show the use of a new approach to this problem. This approach is based on three complementary techniques. One is aimed at detection of the cluster, and two others are applied after cluster detection in order to confirm or reject the cluster. Included is application of the approach in small agricultural-industrial communities of the South of Israel. The approach reduces both types of statistical errors, increases the chance to detect a true clustering and enables a first step in the identification of the cause of a cluster detected.",
keywords = "Cancer epidemiology, Cluster analysis for medical applications, Small agricultural-industrial communities, Temporal pattern analysis",
author = "E. Kordysh and A. Bolotin and M. Barchana and R. Chen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 2nd International Symposium on Medical Data Analysis, ISMDA 2001 ; Conference date: 08-10-2001 Through 09-10-2001",
year = "2001",
month = jan,
day = "1",
doi = "10.1007/3-540-45497-7_19",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "126--132",
editor = "Jose Crespo and Victor Maojo and Fernando Martin",
booktitle = "Medical Data Analysis - 2nd International Symposium, ISMDA 2001, Proceedings",
address = "Germany",
}
