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Studies in Computational Intelligence 606 Radim Bris Jaroslav Majernik Krzysztof Pancerz Elena Zaitseva Editors Applications of Computational Intelligence in Biomedical Technology Studies in Computational Intelligence Volume 606 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] About this Series The series “Studies in Computational Intelligence” (SCI) publishes new develop- mentsandadvancesinthevariousareasofcomputationalintelligence—quicklyand with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the worldwide distribution, which enable both wide and rapid dissemination of research output. More information about this series at http://www.springer.com/series/7092 Radim Bris Jaroslav Majernik (cid:129) Krzysztof Pancerz Elena Zaitseva (cid:129) Editors Applications of Computational Intelligence in Biomedical Technology 123 Editors Radim Bris Krzysztof Pancerz Katedra AplikovanéMatematiky University of Information Technology VŠB—Technical University of Ostrava andManagementinRzeszow Ostrava-Poruba Rzeszow Czech Republic Poland Jaroslav Majernik ElenaZaitseva PavolJozefSafarik University Faculty of ManagementScience Kosice andInformatics Slovakia University of Zilina Zilina Slovakia ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN978-3-319-19146-1 ISBN978-3-319-19147-8 (eBook) DOI 10.1007/978-3-319-19147-8 LibraryofCongressControlNumber:2015941160 SpringerChamHeidelbergNewYorkDordrechtLondon ©SpringerInternationalPublishingSwitzerland2016 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinor foranyerrorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper SpringerInternationalPublishingAGSwitzerlandispartofSpringerScience+BusinessMedia (www.springer.com) Preface Biomedical Technology represents one of the most dynamically developed scien- tific area that supports research activities aimed to discover, create and develop innovative applications of technological solutions to handle different biomedical problems. Technology development often requires multidisciplinary and team- oriented approaches and may lead to the realization of new and/or improved instrumentsthathavesubstantialinfluenceonqualityandreliabilityofmedicaland biomedical progress and further research. In general, the Biomedical Technologies developed by technicians are transferred into practice by specialists in medicine. Here, the physicians utilize such technologies mainly to help their patients solve theirhealthproblemsasbestaspossibleandreturnthembacktonormallifeassoon aspossible.Ontheotherhand,themanagersofvariousinstitutionsincludedinthe healthcare system can create proper conditions to support physicians in their innovative and advanced work by accepting of new methods and by personal or even financial interventions. Computational Intelligence and Informatics play a dominant role in Biomedical Technologies as it is an actual. There are various scientific teams all over the world attempting to develop modern and innovative methods for this field of research. Most of them usually consist of members that are specialists in some areas of Biomedical Technologies, in development of special tools, devices, equipment, methodologies, etc. All such teams have their unique experiences and knowledge based on different back- grounds, mathematical approaches, and techniques applied in investigation activi- ties to reach their goals. Exchange of scientific results and combination of experiences obtained by these scientific teams can be very useful to generate internationalcooperationbasedonprofessionalsintheirareasaswellasforthenext investigation and development in Biomedical Technologies. Therefore, the papers included in this book represent a good opportunity to present and to find the latest results in selected parts of Biomedical Technologies. Most of them deal with problems of Biomedical and Medical Informatics, ranging from theoretical con- siderations to practical applications. The authors of these book chapters discuss a lot of specific aspects of devel- opment methods and algorithms in Biomedical and Medical Informatics. v vi Preface Algorithms for medical image processing, modelling methods and tool, medical decision-making support, estimation of risks of treatments, reliability of medical systems, problems of practical clinical applications and many other topics are covered by individual contributions. Decisions of different problems in develop- ment of medical decision-making support system are presented. For example, decision-making process connected with the choice of right operation technique plays a big role as a risk decreasing factor taking into account the risk of post-operative mortality and morbidity as well. Having a good mathematical (sta- tistical) model a decision-maker can assess and predict results of the expensive Phadiatopmedical test.Cox analysiscanbe usedasa usefultool for theincidence of cancer, etc. Interesting results are discussed for estimation of risk in treatment and examination of reliability of medical system. The book is composed by selected contributions presented and discussed at the International Workshop on Biomedical Technologies that was organized under the 10thInternationalConferenceonDigitalTechnologies2014(DT2014)andheldin July 2014 in Zilina, Slovakia. The organization of this Workshop was mainly possible thanks support of the International Visegrad Fund by Standard Grant No. 21320401 “International Workshop on Biomedical Technologies”. This book is intended for scientists interested in problems of Biomedical Technologies, for researchers and academic staff, for all dealing with Biomedical andMedicalInformatics,forPh.D.students,etc.Usefulinformationisofferedalso to IT companies, developers of equipment and/or software for medicine and medical professionals as well. WethankJozefKostolnyforhishelpinthebookpre-publishingpreparationand technical support. Radim Bris Jaroslav Majernik Krzysztof Pancerz Elena Zaitseva Contents Mesh-Based Modeling of Individual Cells and Their Dynamics in Biological Fluids . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Ivan Cimrák, Iveta Jančigová, Renáta Tóthová and Markus Gusenbauer Usage of Industrial Computed Tomography for Evaluation of Custom-Made Implants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Radovan Hudák, Jozef Živčák, Teodor Tóth, Jaroslav Majerník and Martin Lisý Assessment of Mortality Risk for Patients Undergoing Colorectal Surgery Using Regression Modeling. . . . . . . . . . . . . . . . . . 47 Kateřina Janurová and Lubomír Martínek Profiling of Software Requirements for the Pharmaceutical Enterprise Manufacturing Execution System. . . . . . . . . . . . . . . . . . . . 67 Vyacheslav Kharchenko, Oleksandr Gordieiev and Alina Fedoseeva Application of Survival Analysis on Analysing the Association Between Chromosomal Aberrations and Carcinoma . . . . . . . . . . . . . . 93 Veronika Kubíčková Modelling the Results of the Phadiatop Test Using the Logistic and Ordinal Regression. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 Pavlína Kuráňová Complex Data Management in MRI Results Processing. . . . . . . . . . . . 119 Michal Kvet, Monika Vajsová and Karol Matiaško Biometrics for Biomedical Applications. . . . . . . . . . . . . . . . . . . . . . . . 143 Kenneth Lai, Steven Samoil, Svetlana N. Yanushkevich and Gaetan Collaud vii viii Contents Multimedia Support of Medical Education Utilizing On-Line Archive of Video Lectures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Jaroslav Majerník and Pavol Jarčuška Evaluation of Postural Stability Using Motion Analysis Techniques. . . 175 Jaroslav Majerník and Jozef Živčák Some Issues on an Object-Oriented Programming Language for Physarum Machines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 Krzysztof Pancerz and Andrew Schumann A Tool for Computer-Aided Diagnosis of Psychological Disorders Based on the MMPI Test: An Overview. . . . . . . . . . . . . . . . . . . . . . . 201 Krzysztof Pancerz, Olga Mich, Andrzej Burda and Jerzy Gomuła The Instance and Feature Selection for Neural Network Based Diagnosis of Chronic Obstructive Bronchitis. . . . . . . . . . . . . . . . . . . . 215 Sergey Subbotin New Methods for the Reliability Analysis of Healthcare System Based on Application of Multi-State System . . . . . . . . . . . . . . . . . . . . 229 Elena Zaitseva, Vitaly Levashenko, Jozef Kostolny and Miroslav Kvassay Mesh-Based Modeling of Individual Cells and Their Dynamics in Biological Fluids IvanCimrák,IvetaJancˇigová,RenátaTóthová andMarkusGusenbauer Abstract This text is aimed at providing both basic and advanced knowledge on the individual cell modeling in a flow. Besides the overview of various existing approaches,itisfocusedonmesh-basedmodelandonitscapabilitiestocovercom- plexmechano-elasticpropertiescombinedwithadhesionandmagneticphenomena. Wealsodescribevalidationprocedures,offeranexampleofuseofthemodelforbet- terunderstandingofcellbehaviorandashortoverviewoffutureresearchdirections. 1 Introduction Computationalmodelsareabletohandlemultipledynamicallyinteractingvariables and parameters, such as different elastic properties of cells, different environmen- talfactors,orvariousgeometriesinmicrofluidicchannels.Thisabilityenablesthe investigation of how individual components of a system contribute to its overall performanceviasystematicmanipulationofthesevariablesandparameters. Incomputersimulations,everyparameterrangesoverasetofvaluesandmultiple parameterscanbevariedsimultaneously.Thisisinmostcasesimpossibletoachieve experimentallyinanaccurateandcontrolledfashion.Computationalmodelinggives usatooltofollowthebehaviorofthewholesystemaswellasofindividualcells. To solve clinically relevant blood flow problems and test hypotheses regarding hemodynamicfactorsinvascularadaptationanddisease,bloodisoftenconsidered asahomogeneousviscousfluid.Theunderlyingmathematicalmodelforthisflow isoftenbasedonNavier-Stokesequationsorlattice-Boltzmannmethod[50]. B I.Cimrák( )·I.Jancˇigová·R.Tóthová FacultyofManagementScienceandInformatics,UniversityofŽilina,Žilina,Slovakia e-mail:[email protected] url:http://cell-in-fluid.fri.uniza.sk M.Gusenbauer CenterforIntegratedSensorSystems,DanubeUniversityKrems, KremsanderDonau,Austria ©SpringerInternationalPublishingSwitzerland2016 1 R.Brisetal.(eds.),ApplicationsofComputationalIntelligence inBiomedicalTechnology,StudiesinComputationalIntelligence606, DOI10.1007/978-3-319-19147-8_1

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