| Vol-3302 urn:nbn:de:0074-3302-3 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IDDM 2022
Informatics & Data-Driven Medicine

### Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine

### Lyon, France, November 18 - 20, 2022.

Edited by

### Nataliia Shakhovska *
Stephane Chretien **
Ivan Izonin ***
Jaime Campos ****

* Lviv Polytechnic National University, Lviv, Ukraine
** University Lumière Lyon 2, Lyon, France
*** Lviv Polytechnic National University, Lviv, Ukraine
**** Linnaeus University, Växjö, Sweden

## Table of Contents

- Preface
  Summary: There were 99 papers submitted for peer-review to this conference. Out of these, 27 papers were accepted for this volume, 14 as regular papers and 13 as short papers.

### Session 1

- Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks 1-8
  Yevgeniy Bodyanskiy, Olha Chala, Ivan Izonin, Sergiy Popov
- Human-in-the-Loop Approach Based on MRI and ECG for Healthcare Diagnosis 9-20
  Pavlo Radiuk, Oleksii Kovalchuk, Vitalii Slobodzian, Eduard Manziuk, Oleksander Barmak, Iurii Krak
- Appraisal of Artificial Intelligence for Fall Prevention & Fall Risk Assessment 21-34
  Jaime Campos
- Modeling of Small Data with Unsupervised Generative Ensemble Learning 35-43
  Serge Dolgikh
- The Structure of the Blockchain-Based Multi-Agent System for Secure Management of Medical Information 44-55
  Tetiana Hovorushchenko, Vitaliy Osyadlyi, Peter Popov, Tetiana Kysil
- Evaluating Autonomous-Energy-Harvesting Device Lifetime for the Internet of Medical Things with a Petri Net Formulation Considering Battery SoH 56-68
  Oukas Nourredine, Djouabri Abderrezak, Boulif Menouar
- Application Of MLOps Practices For Biomedical Image Classification 69-77
  Oleh Berezsky, Oleh Pitsun, Grygory Melnyk, Yuriy Batko, Bohdan Derysh, Petro Liashchynskyi
- Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning 78-85
  Dmytro Chumachenko, Alina Nechyporenko, Marcus Frohme
- A Data-Driven Approach for Neonatal Mortality Rate Forecasting 86-98
  Elen Rodríguez, Elias Rodríguez, Luiz Nascimento, Aneirson da Silva, Fernando Marins
- Interval Non-linear Model of Information Signal Characteristics Distribution for Detection of Recurrent Laryngeal Nerve during Thyroid Surgery 99-107
  Mykola Dyvak, Volodymyr Manzhula, Yulia Trufanova
- Automatic Creation of Masks for Marking Histological Images of the Epithelium of the Paranasal Sinuses 108-119
  Alina Nechyporenko, Yevhen Hubarenko, Maryna Hubarenko, Violeta Kalnytska, Victoriia Alekseeva, Vitaliy Gargin
- Modelling the Biostimulation Effect on the Development of an Infectious Disease in View of Diffusion Perturbations and the Organism’s Temperature Response 120-127
  Serhii Baranovsky, Andrii Bomba, Oksana Pryshchepa
- Implementation of Uncertainty Calculation Elicited from Paranasal Sinuses Bones' Structural Parameters for Various Approaches to Treat Recurrent Poliposus 128-134
  Viktor Reschetnik, Vadym Zherebkin, Galyna Semko, Andrii Lupyr, Victoriia Alekseeva, Rozana Nazaryan

### Session 2

- Comparison of Deep Neural Network Learning Algorithms for Biomedical Image Processing 135-145
  Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, Pavlo Liashchynskyi, Mykola Berezkyy
- The Intelligent Diagnosis Method of Covid-19 Based on the Lenet-Vit Deep Neural Network 146-159
  Eugene Fedorov, Tetyana Utkina, Maryna Leshchenko, Olga Nechyporenko, Kostiantyn Rudakov
- Progressive and Combined Deep Transfer Learning for pneumonia diagnosis in chest X-ray images 160-173
  Mamar Khaled, Djamel Gaceb, Fayçal Touazi, Ahmed Otsmane, Farouk Boutoutaou
- Mathematical Models of Epidemic Dynamics to Simulate the Distribution of COVID-19 174-183
  Yuriy Tymonin, Kateryna Molodetska
- Dimensionality Reduction of Data on Patients with Diabetes Mellitus by Multidimensional Scaling 184-191
  Ievgen Meniailov, Serhii Krivtsov, Tetyana Chumachenko
- Predictability of Kidney Dialysis Survivability 192-201
  Arvinte Rareș, Diana Trandabăț
- Decision-Making Support for Necessity/Optionality/Contraindication of Vaccination against COVID-19 Considering Legal Norms 202-213
  Yelyzaveta Hnatchuk, Tetiana Hovorushchenko, Andrii Misiats, Alla Herts, Artem Boyarchuk
- ECG Analysis Software Library based on NLP and ML Methods 214-226
  Yurii Oliinyk, Mykhailo Yazenok, Oleksandr Ocheretianyi, Igor Baklan, Kateryna Lishchuk, Elisa Beraudo
- Solving the Problem of Antibody Grouping based on Crossinhibition Index using Hierarchical Clustering Methods 227-235
  Oleksandr Zelinskyi, Vitaliy Horlatch, Yuri Lebedin, Yaryna Paslavska
- A novel Deep-Learning model for Human Activity Recognition based on Continuous Wavelet Transform 236-245
  Olena Pavliuk, Myroslav Mishchuk
- Multimodal Approaches for Natural Language Processing in Medical Data 246-252
  Oleh Basystiuk, Nataliia Melnykova
- DeepAdversaryDefense: A Deep Model to Identify and Prevent Adversarial Attacks against Medical Speech Recognition 253-259
  Kirtee Panwar, Akansha Singh, Krishna Kant Singh
- An Assessment of the Transplant's Survival Level for Recipients after Kidney Transplantations using Cox Proportional-Hazards Model 260-265
  Yaroslav Tolstyak, Myroslav Havryliuk
- MEdOps - Medical Education with Emphasis on Robotics 266-271
  Roman Hasko, Oleksandra Hasko, Christine Strauss, Stefania Vyshnevska

### Workshop on Trustworthy AI in Medicine and Healthcare

- Trustworthy AI in Medicine and Healthcare - abstract
  Anastasiya Doroshenko

2022-12-02: submitted by Ivan Izonin, metadata incl. bibliographic data published under Creative Commons CC0
2022-12-14: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|