@inproceedings{402844cbacb446aaa481635e2187b49b,
title = "The analysis of near-miss cases using data-mining approach",
abstract = "We applied the data mining technique to medical near-miss cases collected by a foundation related to the Japanese Health, Labor and Welfare Ministry, and extracted information such as pairs of confusing medicines, the cause of near-miss cases in some situations, which cannot be obtained by simple aggregation calculations and descriptive statistics. We also introduce the results of text mining applied to the free-description data regarding the backgrounds and causes of near-miss cases and their counter measures.",
keywords = "Data mining, Safety in drug use, Text mining",
author = "Masaomi Kimura and Kouji Tatsuno and Toshiharu Hayasaka and Yuta Takahashi and Tetsuro Aoto and Michiko Ohkura and Fumito Tsuchiya",
year = "2007",
doi = "10.1007/978-3-540-73111-5_54",
language = "English",
isbn = "9783540731092",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 4",
pages = "474--483",
booktitle = "Human-Computer Interaction",
edition = "PART 4",
note = "12th International Conference on Human-Computer Interaction, HCI International 2007 ; Conference date: 22-07-2007 Through 27-07-2007",
}