https://scholars.lib.ntu.edu.tw/handle/123456789/585796
標題: | Suicidal risk evaluation using a similarity-based classifier | 作者: | Chattopadhyay S. Ray P. Chen H.S. MING-BEEN LEE Chiang H.C. |
關鍵字: | JAVA platform; Pierce's Suicidal Intent Scale (SIS); Similarity-based approach; Suicidality; Suicide risk assessment | 公開日期: | 2008 | 卷: | 5139 LNAI | 起(迄)頁: | 51-61 | 來源出版物: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 摘要: | Suicide remains one of the leading causes of death in the world and it is showing an increasing trend. Suicide is preventable by early screening of the risks. But the risk assessment is a complex task due to involvement of multiple predictors, which are highly subjective in nature and varies from one case to another. Moreover, none of the available suicide intent scales (SIS) are found to be sufficient to evaluate the risk patterns in a group of patients. Given this scenario, the present paper applies similarity-based pattern-matching technique for mining suicidal risks in vulnerable groups of patients. At first, medical data of groups of suicidal patients have been collected and modeled according to Pierce's Suicide Intent Scale (PSIS) and then engineered using a JAVA-based pattern-matching tool that performs as an intelligent classifier. Results show that addition of more factors, for example, age and sex of the patients brings more clarity to identify the suicidal risk patterns. ? 2008 Springer-Verlag Berlin Heidelberg. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-68749110677&doi=10.1007%2f978-3-540-88192-6_7&partnerID=40&md5=fe0a6d35cd75182eb1727c6f4306ca53 https://scholars.lib.ntu.edu.tw/handle/123456789/585796 |
ISSN: | 3029743 | DOI: | 10.1007/978-3-540-88192-6_7 | SDG/關鍵字: | Diagnosis; Java programming language; Pattern matching; Risk assessment; Risk perception; Causes of death; Intelligent classifiers; Java platforms; Pattern-matching technique; Risk evaluation; Similarity-based approach; Suicidality; Vulnerable groups; Data mining |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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