A Bipolar View on Medical Diagnosis in OvaExpert System

被引：9

作者：

Stachowiak, Anna ^{[1
]}

Dyczkowski, Krzysztof ^{[1
]}

Wojtowicz, Andrzej ^{[1
]}

Zywica, Patryk ^{[1
]}

Wygralak, Maciej ^{[1
]}

机构：

[1] Adam Mickiewicz Univ, Fac Math & Comp Sci, Umultowska 87, PL-61614 Poznan, Poland

来源：

FLEXIBLE QUERY ANSWERING SYSTEMS 2015 | 2016年 / 400卷

关键词：

Supporting medical diagnosis; Incomplete data; Bipolar information; Uncertainty; Aggregation; Interval-valued fuzzy sets; Atanassov's intuitionistic fuzzy sets; LOGISTIC-REGRESSION MODEL; TUMOR-ANALYSIS-GROUP; EXTERNAL VALIDATION; MENOPAUSAL STATUS; OVARIAN; BENIGN; DISTINGUISH; MULTICENTER; UNCERTAINTY; MALIGNANCY;

D O I：

10.1007/978-3-319-26154-6_37

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 present OvaExpert - a unique tool for supporting gynecologists in the diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of machine learning and soft computing. A distinguishing feature of the system is its comprehensiveness, which makes it usable at any stage of a diagnostic process. We gather all the results and solutions making up the system, some of which were described in our other publications, to provide an overall picture of OvaExpert and its capabilities. A special attention is paid to a property of supporting uncertainty modeling and processing, that is an essential part of the system.

引用

页码：483 / 492

页数：10

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