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来源类型Book Section
DOI10.1007/978-3-319-22689-7_44
Robust psychiatric decision support using surrogate numbers.
Danielson M; Ekenberg L; Sygel K; Fujita, H.; Guizzi, G.
发表日期2015
出处Intelligent Software Methodologies, Tools and Techniques. Eds. Fujita, H. & Guizzi, G. , pp. 575-585 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-22688-0 DOI: 10.1007/978-3-319-22689-7_44 .
出版年2015
语种英语
摘要Decision analytical methods have been utilized and demonstrated to be of use for a broad range of applications in medical contexts, from regular diagnostic strategies and treatment to the evaluation of diagnostic tests and prediction modes and benefit-risk assessments. However, a number of issues still remain to be clarified, for instance ease of use, realism of the input data, long-term outcomes and integration into routine clinical work. In particular, many people are unaccustomed or unwilling to express input information with the preciseness and correctness most methods require, i.e., the values need to be "true" in some sense. The common lack of complete information naturally increases this problem significantly and several attempts have been made to resolve this issue. This is not least the case within psychiatric emergency care where the information available often is of a highly qualitative nature. In this article we suggest the use of so called surrogate numbers that have proliferated for a while in the form of ordinal ranking methods for multi-criteria and show how they can be adapted for use in probability elicitation.
主题Risk, Policy and Vulnerability (RPV) ; Exploratory and Special projects (ESP) ; Risk & ; Resilience (RISK)
URLhttp://pure.iiasa.ac.at/id/eprint/11563/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/134388
推荐引用方式
GB/T 7714
Danielson M,Ekenberg L,Sygel K,et al. Robust psychiatric decision support using surrogate numbers.. 2015.
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