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Information Technology in Biomedicine

  • Ewa Pietka
  • Pawel Badura
  • Jacek Kawa
  • Wojciech Wieclawek
Conference proceedings ITIB 2019

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1011)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Quantitative Data Analysis in Medical Diagnosis

    1. Front Matter
      Pages 1-1
    2. Maria Strąkowska, Robert Strąkowski, Michał Strzelecki
      Pages 3-12
    3. Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak et al.
      Pages 13-25
    4. Chen Li, Dan Xue, Fanjie Kong, Zhijie Hu, Hao Chen, Yudong Yao et al.
      Pages 26-37
    5. Marcin Kociołek, Michał Strzelecki, Artur Klepaczko
      Pages 38-49
    6. Piotr M. Szczypiński, Artur Klepaczko
      Pages 67-78
    7. Katarzyna Sprawka, Piotr M. Szczypiński
      Pages 79-90
  3. Medical Data Science

    1. Front Matter
      Pages 91-91
    2. Noemi Kowalewska, Przemysław Łagodziński, Marcin Grzegorzek
      Pages 93-102
    3. Maja Trzepacz, Przemysław Łagodziński, Marcin Grzegorzek
      Pages 103-116
    4. Václav Řepa
      Pages 129-140
    5. Radek Halfar, Martina Litschmannová, Martin Černý
      Pages 141-150
    6. Tanja Joan Eiler, Armin Grünewald, Alla Machulska, Tim Klucken, Katharina Jahn, Björn Niehaves et al.
      Pages 151-163
  4. Data Mining Tools and Methods in Medical Applications

    1. Front Matter
      Pages 165-165
    2. Bartłomiej Stasiak, Sławomir Opałka, Dominik Szajerman, Adam Wojciechowski
      Pages 167-178
    3. Andre Woloshuk, Michal Krecichwost, Zuzanna Miodonska, Dominika Korona, Pawel Badura
      Pages 179-186
    4. Michał Kozłowski, Piotr M. Szczypiński
      Pages 187-198
    5. Chen Li, Hao Chen, Dan Xue, Zhijie Hu, Le Zhang, Liangzi He et al.
      Pages 209-221
    6. Chen Li, Dan Xue, Zhijie Hu, Hao Chen, Yudong Yao, Yong Zhang et al.
      Pages 222-233
  5. Image Analysis

    1. Front Matter
      Pages 235-235
    2. Artur Przelaskowski, Ewa Sobieszczuk, Izabela Domitrz
      Pages 237-248
    3. Joanna Czajkowska, Marta Biesok, Jan Juszczyk, Agata Wijata, Bartłomiej Pyciński, Michal Krecichwost et al.
      Pages 249-257
    4. Jan Juszczyk, Agata Wijata, Joanna Czajkowska, Marta Biesok, Bartłomiej Pyciński, Ewa Pietka
      Pages 258-267
    5. Daniel Ledwoń, Jan Juszczyk, Ewa Pietka
      Pages 268-279
    6. Kateřina Maršálová, Daniel Schwarz
      Pages 280-291
    7. Agnieszka A. Tomaka, Leszek Luchowski, Dariusz Pojda, Michał Tarnawski
      Pages 292-303
    8. Piotr Zarychta
      Pages 314-322
  6. Analytics in Action on SAS Platform

    1. Front Matter
      Pages 323-323
    2. Piotr Borowik, Piotr Brylicki, Mariusz Dzieciątko, Waldemar Jęda, Łukasz Leszewski, Piotr Zając
      Pages 325-337
    3. Mariusz Dzieciątko, Dominik Spinczyk, Piotr Borowik
      Pages 338-348
    4. Michał Maćkowski, Katarzyna Rojewska, Mariusz Dzieciątko, Dominik Spinczyk
      Pages 349-357
  7. Biocybernetics in Physiotherapy

    1. Front Matter
      Pages 359-359
    2. Anna Lipowicz, Tomasz Szurmik, Monika N. Bugdol, Katarzyna Graja, Piotr Kurzeja, Andrzej W. Mitas
      Pages 361-370
    3. Monika N. Bugdol, Marta Marszałek, Marcin D. Bugdol
      Pages 371-381
    4. Mariola Ciuraj, Katarzyna Kieszczyńska, Iwona Doroniewicz, Anna Lipowicz
      Pages 382-391
    5. Katarzyna Graja, Anna Lipowicz, Monika N. Bugdol, Andrzej W. Mitas
      Pages 392-401
    6. Tomasz Szurmik, Piotr Kurzeja, Jarosław Prusak, Zuzanna Hudakova, Bartłomiej Gąsienica-Walczak, Karol Bibrowicz et al.
      Pages 402-412
    7. Anna Mańka, Robert Michnik, Andrzej W. Mitas
      Pages 413-424
    8. Piotr Kurzeja, Jarosław Prusak, Tomasz Szurmik, Jan Potoniec, Zuzanna Hudakova, Bartłomiej Gąsienica-Walczak et al.
      Pages 425-435
    9. Patrycja Romaniszyn, Damian Kania, Katarzyna Nowakowska, Marta Sobkowiak, Bruce Turner, Andrzej Myśliwiec et al.
      Pages 436-447
  8. Signal Processing and Analysis

    1. Front Matter
      Pages 461-461
    2. Szymon Sieciński, Paweł S. Kostka, Ewaryst J. Tkacz, Natalia Piaseczna, Marta Wadas
      Pages 473-480

About these proceedings

Introduction

This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections:


Medical Data Science

Quantitative Data Analysis in Medical Diagnosis

Data Mining Tools and Methods in Medical Applications

Image Analysis

Analytics in Action on SAS Platform

Biocybernetics in Physiotherapy

Signal Processing and Analysis

Medical Tools & Interfaces

Biomechanics and Biomaterials.


As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.

Keywords

Medical Information Systems Biomedicine Patient Care Computer Assisted Diagnosis and Treatment Telemedicine Home Care ITIB 2019

Editors and affiliations

  • Ewa Pietka
    • 1
  • Pawel Badura
    • 2
  • Jacek Kawa
    • 3
  • Wojciech Wieclawek
    • 4
  1. 1.Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland
  2. 2.Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland
  3. 3.Faculty of Biomedical EngineeringSilesian University of TechnologyGliwicePoland
  4. 4.Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland

Bibliographic information