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
收藏
页码：381 / 390
页数：10
相关论文
共 50 条
  • [1] Application of uncertainty-aware similarity measure to classification in medical diagnosis
    Zywica, Patryk
    2020 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2020,
  • [2] A Bipolar View on Medical Diagnosis in OvaExpert System
    Stachowiak, Anna
    Dyczkowski, Krzysztof
    Wojtowicz, Andrzej
    Zywica, Patryk
    Wygralak, Maciej
    FLEXIBLE QUERY ANSWERING SYSTEMS 2015, 2016, 400 : 483 - 492
  • [3] Diverse Classes of Interval-Valued Aggregation Functions in Medical Diagnosis Support
    Bentkowska, Urszula
    Pekala, Barbara
    INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: APPLICATIONS, IPMU 2018, PT III, 2018, 855 : 391 - 403
  • [4] Medical diagnosis support using uncertainty and imprecision measures
    Straszecka, E
    Straszecka, J
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 5835 - 5840
  • [5] Uncertainty-based decision support system for gaming applications
    Jagtap, Vinayak
    Kulkarni, Parag
    Joshi, Pallavi
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 44 (02) : 3381 - 3397
  • [6] Uncertainty aware and explainable diagnosis of retinal disease
    Singh, Amitojdeep
    Sengupta, Sourya
    Rasheeda, Mohammed Abdul
    Jayakumara, Varadharajan
    Lakshminarayanana, Vasudevan
    MEDICAL IMAGING 2021: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2021, 11601
  • [7] Medical Diagnosis Support System for Disease Prevention and Its Interface
    Mori, Minoru
    Tsukahara, Tetsuo
    Shinozawa, Kazuhiko
    Hagita, Norihiro
    Furutani, Michiko
    Furutani, Yoshiyuki
    Matsuoka, Rumiko
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [8] Solving the problem of incomplete data in medical diagnosis via interval modeling
    Wojtowicz, Andrzej
    Zywica, Patryk
    Stachowiak, Anna
    Dyczkowski, Krzysztof
    APPLIED SOFT COMPUTING, 2016, 47 : 424 - 437
  • [9] Uncertainty-Aware Fault Diagnosis Under Calibration
    Lin, Yan-Hui
    Li, Gang-Hui
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (10): : 6469 - 6481
  • [10] Development of a fuzzy-driven system for ovarian tumor diagnosis
    Zywica, Patryk
    Dyczkowski, Krzysztof
    Wojtowicz, Andrzej
    Stachowiak, Anna
    Szubert, Sebastian
    Moszynski, Rafal
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2016, 36 (04) : 632 - 643
12345