@inbook{7acae3db5353446599f5d5a6640fbf2f,
title = "Suicide risk analysis",
abstract = "This study explores the trends and patterns in suicide risk factors using data mining techniques. Medical records of 666 suicide attempters who were admitted to a teaching hospital from January 2004 to December 2006 were studied. Data mining techniques revealed hidden patterns for repeated and single attempters, as well as suicide precipitants and risk factors. The findings have implications for further research in suicide assessment and intervention.",
author = "Carol Choo and Joachim Diederich and Insu Song and Roger Ho",
year = "2014",
doi = "10.1007/978-3-642-38550-6_12",
language = "English",
isbn = "978-3-642-38549-0",
volume = "491",
series = "Studies in Computational Intelligence",
publisher = "Springer-Verlag London Ltd.",
pages = "217--228",
editor = "Margaret Lech and Insu Song and Peter Yellowlees and Joachim Diederich",
booktitle = "Mental Health Informatics",
address = "Germany",
}