2019
|
Szpurek, Dariusz; Szubert, Sebastian; Moszyński, Rafał; Dyczkowski, Krzysztof; Żywica, Patryk; Stachowiak, Anna; Wójtowicz, Andrzej; Romaniuk, Ryszard; Sajdak, Stefan; Wygralak, Maciej The analysis of the accuracy of selected ovarian tumor predictive models according to the degree of uncertainty in subjective assessment Miscellaneous 10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract, 2019. Links | BibTeX @misc{szpurek2019analysis,
title = {The analysis of the accuracy of selected ovarian tumor predictive models according to the degree of uncertainty in subjective assessment},
author = {Dariusz Szpurek and Sebastian Szubert and Rafał Moszyński and Krzysztof Dyczkowski and Patryk Żywica and Anna Stachowiak and Andrzej Wójtowicz and Ryszard Romaniuk and Stefan Sajdak and Maciej Wygralak},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2019-abstract-analysis.pdf},
year = {2019},
date = {2019-04-04},
howpublished = {10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Szpurek, Dariusz; Szubert, Sebastian; Moszyński, Rafał; Dyczkowski, Krzysztof; Żywica, Patryk; Stachowiak, Anna; Wójtowicz, Andrzej; Romaniuk, Ryszard; Sajdak, Stefan; Wygralak, Maciej The external validation of International Ovarian Tumor Analysis (IOTA) ADNEX model in differential diagnosis of ovarian tumors Miscellaneous 10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract, 2019. Links | BibTeX @misc{szpurek2019external,
title = {The external validation of International Ovarian Tumor Analysis (IOTA) ADNEX model in differential diagnosis of ovarian tumors},
author = {Dariusz Szpurek and Sebastian Szubert and Rafał Moszyński and Krzysztof Dyczkowski and Patryk Żywica and Anna Stachowiak and Andrzej Wójtowicz and Ryszard Romaniuk and Stefan Sajdak and Maciej Wygralak},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2019-abstract-external.pdf},
year = {2019},
date = {2019-04-03},
howpublished = {10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
2018
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Dyczkowski, Krzysztof; Stachowiak, Anna; Wygralak, Maciej A Decision-Making Model in an IVFS Environment Based on Sigma f-Count Cardinality Book Chapter Atanassov, Krassimir T; Kacprzyk, Janusz ; Ka{l}uszko, Andrzej ; Krawczak, Maciej ; Owsi{'{n}}ski, Jan ; Sotirov, Sotir ; Sotirova, Evdokia ; Szmidt, Eulalia ; Zadro{.{z}}ny, S{l}awomir (Ed.): Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications, 559 , pp. 115–124, Springer International Publishing, Cham, 2018, ISBN: 978-3-319-65545-1. Abstract | Links | BibTeX @inbook{10.1007/978-3-319-65545-1_11,
title = {A Decision-Making Model in an IVFS Environment Based on Sigma f-Count Cardinality},
author = {Krzysztof Dyczkowski and Anna Stachowiak and Maciej Wygralak},
editor = {Atanassov, Krassimir T.
and Kacprzyk, Janusz
and Ka{l}uszko, Andrzej
and Krawczak, Maciej
and Owsi{'{n}}ski, Jan
and Sotirov, Sotir
and Sotirova, Evdokia
and Szmidt, Eulalia
and Zadro{.{z}}ny, S{l}awomir},
doi = {https://doi.org/10.1007/978-3-319-65545-1_11},
isbn = {978-3-319-65545-1},
year = {2018},
date = {2018-01-01},
booktitle = {Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications},
volume = {559},
pages = {115--124},
publisher = {Springer International Publishing},
address = {Cham},
series = {Advances in Intelligent Systems and Computing},
abstract = {This article presents a new approach to making decisions when information, possibly incomplete, is provided by many sources. The proposed method is based on IVFS scalar cardinality (sigma f-count). First a general algorithm is introduced, and next an application in supporting medical decisions in ovarian tumor differentiation (based on multiple diagnostic models) is presented and discussed.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
This article presents a new approach to making decisions when information, possibly incomplete, is provided by many sources. The proposed method is based on IVFS scalar cardinality (sigma f-count). First a general algorithm is introduced, and next an application in supporting medical decisions in ovarian tumor differentiation (based on multiple diagnostic models) is presented and discussed. |
2016
|
Stachowiak, Anna; Dyczkowski, Krzysztof; Wójtowicz, Andrzej; Żywica, Patryk; Wygralak, Maciej A bipolar view on medical diagnosis in OvaExpert system Incollection Andreasen, Troels ; Christiansen, Henning ; Kacprzyk, Janusz ; Larsen, Henrik ; Pasi, Gabriella ; Pivert, Olivier ; De Tré, Guy ; Vila, Maria Amparo ; Yazici, Adnan ; Zadrożny, Sławomir (Ed.): Flexible Query Answering Systems 2015, 400 , pp. 483-492, Springer, Cham, 2016, ISBN: 978-3-319-26153-9. Abstract | Links | BibTeX @incollection{stachowiak2016bipolar,
title = {A bipolar view on medical diagnosis in OvaExpert system},
author = {Anna Stachowiak and Krzysztof Dyczkowski and Andrzej Wójtowicz and Patryk Żywica and Maciej Wygralak},
editor = {Andreasen, Troels and Christiansen, Henning and Kacprzyk, Janusz and Larsen, Henrik and Pasi, Gabriella and Pivert, Olivier and De Tré, Guy and Vila, Maria Amparo and Yazici, Adnan and Zadrożny, Sławomir},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/fqas-2016-bipolar.pdf},
doi = {10.1007/978-3-319-26154-6_37},
isbn = {978-3-319-26153-9},
year = {2016},
date = {2016-01-01},
booktitle = {Flexible Query Answering Systems 2015},
volume = {400},
pages = {483-492},
publisher = {Springer, Cham},
series = {Advances in Intelligent Systems and Computing},
abstract = {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.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
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. |
2015
|
Moszyński, Rafał; Szubert, Sebastian; Żywica, Patryk; Wójtowicz, Andrzej; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz; Sajdak, Stefan PROCA – new diagnostic tool for pre-operative decision support of women with ovarian tumors Miscellaneous XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract, 2015. Links | BibTeX @misc{moszynski2015proca,
title = {PROCA – new diagnostic tool for pre-operative decision support of women with ovarian tumors},
author = {Rafał Moszyński and Sebastian Szubert and Patryk Żywica and Andrzej Wójtowicz and Anna Stachowiak and Krzysztof Dyczkowski and Maciej Wygralak and Dariusz Szpurek and Stefan Sajdak},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-abstract-proca.pdf},
year = {2015},
date = {2015-09-03},
howpublished = {XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Żywica, Patryk; Stachowiak, Anna; Wygralak, Maciej An algorithmic study of relative cardinalities for interval-valued fuzzy sets Journal Article Fuzzy Sets and Systems, 294 , pp. 105–124, 2015, ISSN: 0165-0114. Abstract | Links | BibTeX @article{zywica2015algorithmic,
title = {An algorithmic study of relative cardinalities for interval-valued fuzzy sets},
author = {Patryk Żywica and Anna Stachowiak and Maciej Wygralak},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-fss-algorithmic-small.pdf
https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/RelativeCardinality.zip},
doi = {10.1016/j.fss.2015.11.007},
issn = {0165-0114},
year = {2015},
date = {2015-01-01},
journal = {Fuzzy Sets and Systems},
volume = {294},
pages = {105--124},
publisher = {North-Holland},
abstract = {The main topic of this paper is the notion of relative cardinality for interval-valued fuzzy sets – its definition, properties and computation. First we define relative cardinality for interval-valued fuzzy sets following the concept of uncertainty modelling given by Mendel's Wavy-Slice Representation Theorem. We expand on previous approaches by considering relative cardinality based on different t-norms and scalar cardinalities and we initiate an investigation of its properties and possible applications. Drawing on the Nguyen–Kreinovich and Karnik–Mendel algorithms, we propose efficient algorithms to compute relative cardinality depending on a chosen t-norm. This seems to be the first such broad and consistent analysis to have been made of relative cardinality for interval-valued fuzzy sets. As a promising application we consider using interval-valued relative cardinality to construct the family of parameterised subsethood measures.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The main topic of this paper is the notion of relative cardinality for interval-valued fuzzy sets – its definition, properties and computation. First we define relative cardinality for interval-valued fuzzy sets following the concept of uncertainty modelling given by Mendel's Wavy-Slice Representation Theorem. We expand on previous approaches by considering relative cardinality based on different t-norms and scalar cardinalities and we initiate an investigation of its properties and possible applications. Drawing on the Nguyen–Kreinovich and Karnik–Mendel algorithms, we propose efficient algorithms to compute relative cardinality depending on a chosen t-norm. This seems to be the first such broad and consistent analysis to have been made of relative cardinality for interval-valued fuzzy sets. As a promising application we consider using interval-valued relative cardinality to construct the family of parameterised subsethood measures. |
2014
|
Moszyński, Rafał; Szubert, Sebastian; Żywica, Patryk; Wójtowicz, Andrzej; Sajdak, Stefan; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz External validation of selected predictive models in differential diagnosis of adnexal masses difficult to classify as benign or malignant Miscellaneous 16th World Congress of Gynecological Endocrinology, March 5-8, 2014, Florence, Italy, reviewed abstract, 2014. Links | BibTeX @misc{moszynski2014external,
title = {External validation of selected predictive models in differential diagnosis of adnexal masses difficult to classify as benign or malignant},
author = {Rafał Moszyński and Sebastian Szubert and Patryk Żywica and Andrzej Wójtowicz and Stefan Sajdak and Anna Stachowiak and Krzysztof Dyczkowski and Maciej Wygralak and Dariusz Szpurek},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-abstract-external.pdf},
year = {2014},
date = {2014-03-05},
howpublished = {16th World Congress of Gynecological Endocrinology, March 5-8, 2014, Florence, Italy, reviewed abstract},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Wójtowicz, Andrzej; Żywica, Patryk; Szarzyński, Krzysztof; Moszyński, Rafał; Szubert, Sebastian; Dyczkowski, Krzysztof; Stachowiak, Anna; Szpurek, Dariusz; Wygralak, Maciej Dealing with Uncertainty in Ovarian Tumor Diagnosis Incollection Atanassov, Krassimir Todorov; Homenda, Władysław; Hryniewicz, Olgierd; Kacprzyk, Janusz; Krawczak, Maciej; Nahorski, Zbigniew; Szmidt, Eulalia; Zadrożny, Sławomir (Ed.): Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications, pp. 151-158, IBS PAN - SRI PAS, 2014, ISBN: 838947554-5. Abstract | Links | BibTeX @incollection{wojtowicz2014dealing,
title = {Dealing with Uncertainty in Ovarian Tumor Diagnosis},
author = {Andrzej Wójtowicz and Patryk Żywica and Krzysztof Szarzyński and Rafał Moszyński and Sebastian Szubert and Krzysztof Dyczkowski and Anna Stachowiak and Dariusz Szpurek and Maciej Wygralak},
editor = {Krassimir Todorov Atanassov and Władysław Homenda and Olgierd Hryniewicz and Janusz Kacprzyk and Maciej Krawczak and Zbigniew Nahorski and Eulalia Szmidt and Sławomir Zadrożny},
url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-iwifsgn-dealing.pdf},
isbn = {838947554-5},
year = {2014},
date = {2014-01-01},
booktitle = {Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications},
pages = {151-158},
publisher = {IBS PAN - SRI PAS},
abstract = {In this paper we consider applications of bipolarity in modelling problems encountered in ovarian tumor diagnosis. We focus on imprecision of data obtained by a gynaecologist during examinations. We also present a wide range of predictive diagnostic models and propose a new idea for their improvement.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
In this paper we consider applications of bipolarity in modelling problems encountered in ovarian tumor diagnosis. We focus on imprecision of data obtained by a gynaecologist during examinations. We also present a wide range of predictive diagnostic models and propose a new idea for their improvement. |
Moszyński, Rafał; Żywica, Patryk; Wójtowicz, Andrzej; Szubert, Sebastian; Sajdak, Stefan; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz Menopausal status strongly influences the utility of predictive models in differential diagnosis of ovarian tumors: An external validation of selected diagnostic tools Journal Article Ginekologia Polska, 85 (12), pp. 892-899, 2014, ISSN: 0017-0011. Abstract | Links | BibTeX @article{moszynski2014menopausal,
title = {Menopausal status strongly influences the utility of predictive models in differential diagnosis of ovarian tumors: An external validation of selected diagnostic tools},
author = {Rafał Moszyński and Patryk Żywica and Andrzej Wójtowicz and Sebastian Szubert and Stefan Sajdak and Anna Stachowiak and Krzysztof Dyczkowski and Maciej Wygralak and Dariusz Szpurek},
url = {https://journals.viamedica.pl/ginekologia_polska/article/view/45789},
doi = {10.17772/gp/1879},
issn = {0017-0011},
year = {2014},
date = {2014-01-01},
journal = {Ginekologia Polska},
volume = {85},
number = {12},
pages = {892-899},
publisher = {Polskie Towarzystwo Ginekologiczne},
abstract = {OBJECTIVES:
The aim of this study was to externally validate the diagnostic performance of the International Ovarian Tumor Analysis logistic regression models (LR1 and LR2, 2005) and other popular prognostic models including the Timmerman logistic regression model (1999), the Alcazar model (2003), the risk of malignancy index (RMI, 1990), and the risk of malignancy algorithm (ROMA, 2009). We compared these models to subjective ultrasonographic assessment performed by an experienced ultrasonography specialist, and with our previously developed scales: the sonomorphologic index and the vascularization index. Furthermore, we evaluated diagnostic tests with regard to the menopausal status of patients.
MATERIALS AND METHODS:
This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models.
MATERIALS AND METHODS:
This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models.
RESULTS:
The subjective ultrasonographic assessment and all of the studied predictive models achieved similar diagnostic performance in the whole study population. However significant differences were observed when pre- and postmenopausal patients were analyzed separately In the subgroup of premenopausal patients, the highest area under the curve (AUC) was achieved by subjective ultrasonographic assessment (0.931), the Alcazar model (0.912), and LR1 (0.909). Alternatively in the group of postmenopausal patients, the highest AUC was noted for the Timmerman model (0.973), ROMA (0.951), and RMI (0.938).
CONCLUSIONS:
Menopausal status is a key factor that affects the utility of prognostic models for differential diagno sis of ovarian tumors. Diagnostic models of ovarian tumors are reasonable tools for predicting tumor malignancy},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
OBJECTIVES:
The aim of this study was to externally validate the diagnostic performance of the International Ovarian Tumor Analysis logistic regression models (LR1 and LR2, 2005) and other popular prognostic models including the Timmerman logistic regression model (1999), the Alcazar model (2003), the risk of malignancy index (RMI, 1990), and the risk of malignancy algorithm (ROMA, 2009). We compared these models to subjective ultrasonographic assessment performed by an experienced ultrasonography specialist, and with our previously developed scales: the sonomorphologic index and the vascularization index. Furthermore, we evaluated diagnostic tests with regard to the menopausal status of patients.
MATERIALS AND METHODS:
This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models.
MATERIALS AND METHODS:
This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models.
RESULTS:
The subjective ultrasonographic assessment and all of the studied predictive models achieved similar diagnostic performance in the whole study population. However significant differences were observed when pre- and postmenopausal patients were analyzed separately In the subgroup of premenopausal patients, the highest area under the curve (AUC) was achieved by subjective ultrasonographic assessment (0.931), the Alcazar model (0.912), and LR1 (0.909). Alternatively in the group of postmenopausal patients, the highest AUC was noted for the Timmerman model (0.973), ROMA (0.951), and RMI (0.938).
CONCLUSIONS:
Menopausal status is a key factor that affects the utility of prognostic models for differential diagno sis of ovarian tumors. Diagnostic models of ovarian tumors are reasonable tools for predicting tumor malignancy |
2003
|
Dyczkowski, Krzysztof; Wygralak, Maciej On triangular norm-based generalized cardinals and singular fuzzy sets Journal Article Fuzzy Sets and Systems, 133 (2), pp. 211 - 226, 2003, ISSN: 0165-0114. Abstract | Links | BibTeX @article{DYCZKOWSKI2003211,
title = {On triangular norm-based generalized cardinals and singular fuzzy sets},
author = {Krzysztof Dyczkowski and Maciej Wygralak},
url = {http://www.sciencedirect.com/science/article/pii/S0165011402003329},
doi = {https://doi.org/10.1016/S0165-0114(02)00332-9},
issn = {0165-0114},
year = {2003},
date = {2003-01-01},
journal = {Fuzzy Sets and Systems},
volume = {133},
number = {2},
pages = {211 - 226},
abstract = {There are three basic types of triangular norm-based generalized cardinals of fuzzy sets, namely generalized FGCounts, FLCounts and FECounts. All of them are convex fuzzy sets of usual cardinal numbers. Our attention will be focused on generalized FECounts. If nonstrict Archimedean triangular norms are involved, generalized FECounts of many fuzzy sets become the zero function. Those singular fuzzy sets, being totally dissimilar to any set of any cardinality, and their properties are the subject of this paper. A relationship between singularity and fuzziness measures suited to fuzzy sets with complements induced by a strict negation will also be discussed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
There are three basic types of triangular norm-based generalized cardinals of fuzzy sets, namely generalized FGCounts, FLCounts and FECounts. All of them are convex fuzzy sets of usual cardinal numbers. Our attention will be focused on generalized FECounts. If nonstrict Archimedean triangular norms are involved, generalized FECounts of many fuzzy sets become the zero function. Those singular fuzzy sets, being totally dissimilar to any set of any cardinality, and their properties are the subject of this paper. A relationship between singularity and fuzziness measures suited to fuzzy sets with complements induced by a strict negation will also be discussed. |
2001
|
Dyczkowski, Krzysztof; Wygralak, Maciej On Cardinality and Singular Fuzzy Sets Journal Article Lecture Notes in Computer Science, 2206 , pp. 261–268, 2001. Abstract | BibTeX @article{Dyczkowski2001,
title = {On Cardinality and Singular Fuzzy Sets},
author = {Krzysztof Dyczkowski and Maciej Wygralak},
year = {2001},
date = {2001-09-26},
booktitle = { Computational Intelligence. Theory and Applications},
journal = {Lecture Notes in Computer Science},
volume = {2206},
pages = {261–268},
abstract = {Fuzzy sets with triangular norms and their cardinalities understood as convex fuzzy sets pf usual cardinal numbers are subject of this paper. It appears that if nonstrict Archimedean triangular norms are involved, some fuzzy sets become totally dissimilar to any set of any cardinality. In other words, they become singular with respect to cardinality. We present a study of those singular fuzzy sets. In particular, we give their characterization and formulate their main properties.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fuzzy sets with triangular norms and their cardinalities understood as convex fuzzy sets pf usual cardinal numbers are subject of this paper. It appears that if nonstrict Archimedean triangular norms are involved, some fuzzy sets become totally dissimilar to any set of any cardinality. In other words, they become singular with respect to cardinality. We present a study of those singular fuzzy sets. In particular, we give their characterization and formulate their main properties. |
