An Uncertainty Aware Medical Diagnosis Support System

被引：2

作者：

Dyczkowski, Krzysztof ^{[1
]}

Stachowiak, Anna ^{[1
]}

Wojtowicz, Andrzej ^{[1
]}

Zywica, Patryk ^{[1
]}

机构：

[1] Adam Mickiewicz Univ, Fac Math & Comp Sci, Dept Imprecise Informat Proc Methods, Umultowska 87, PL-61614 Poznan, Poland

来源：

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: APPLICATIONS, IPMU 2018, PT III | 2018年 / 855卷

关键词：

Diagnosis support; Medical data; Uncertainty; Imperfect information; EXTERNAL VALIDATION; MENOPAUSAL STATUS; ADNEXAL MASSES; OVARIAN; PREDICTION; ULTRASOUND; BENIGN; MODELS; INDEX;

D O I：

10.1007/978-3-319-91479-4_32

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper we describe a computer system that store and process uncertain data in such a way as to be able to obtain information essential to make an effective diagnosis while also indicating the uncertainty level of that diagnosis. We consider the problem of incompleteness and imprecision of medical data and discuss some issues connected with such kind of information - like modeling, making decision that is aware of the imperfection of data, evaluating results in the context of uncertain medical data. As an example we describe a method of supporting medical decision implemented in the OvaExpert system that is based on interval-valued fuzzy sets cardinality.

引用

页码：381 / 390

页数：10

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