IDDM 2022
Informatics & Data-Driven Medicine

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 Scaling184-191
  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