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6th IDDM 2023: Bratislava, Slovakia
- Natalia Shakhovska, Michal Kovác, Ivan Izonin, Stéphane Chrétien:
Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023. CEUR Workshop Proceedings 3609, CEUR-WS.org 2024
Session 1
- Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Iurii Krak:
Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge. 1-14 - Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, Grygoriy Melnyk:
Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks. 15-26 - Tetiana Hovorushchenko, Maksym Pytlyak, Olha Hovorushchenko, Illya Paionk, Vitaliy Osyadlyi, Artem Boyarchuk:
Mobile Cyber-Physical System for Diabetic Patients' Health Status Monitoring. 27-36 - Serge Dolgikh:
Open Public Data and Early Factor Analysis in a Developing Public Health Event. 37-47 - Sergii Babichev, Ihor Liakh, Vasyl Morokhovych, Andrii Honcharuk, Anatolii Balanda, Oleksandr Zaitsev:
Applying Convolutional Neural Network for Cancer Disease Diagnosis Based on Gene Expression Data. 48-61 - Fayçal Touazi, Djamel Gaceb, Marouane Chirane, Selma Hrzallah:
Two-Stage Approach for Semantic Image Segmentation of Breast Cancer: Deep Learning and Mass Detection in Mammographic Images. 62-76 - Vitalii Slobodzian, Pavlo Radiuk, Anastasiia Zingailo, Olexander Barmak, Iurii Krak:
Myocardium Segmentation using Two-Step Deep Learning with Smoothed Masks by Gaussian Blur. 77-91 - Dmytro Chumachenko, Vasyl Chomko, Ievgen Meniailov, Serhii Krivtsov, Halyna Padalko:
A Data-Driven Simulation of Ukrainian Refugee Flows Impact on COVID-19 Dynamics in the UK. 92-102 - Ana Diana Domuta, Otilia Libal, Christine Strauss:
Health and Fitness Apps: An Analysis of Gamification Elements in Austria. 103-114 - Akansha Singh, Krishna Kant Singh:
FedDDR: A Federated Improved DenseNet for Classification of Diabetic Retinopathy. 115-125 - Eugene Fedorov, Olga Nechyporenko, Maryna M. Leshchenko, Tetyana Utkina, Kostiantyn Rudakov, Nataliia Lada:
Adaptive Metaheuristic Methods Based on the Covid-19 Virus' Behavior and Measures for Fight It. 126-137 - Serhii Baranovsky, Andrii Bomba, Oksana Pryshchepa:
Generalizing the Antiviral Immune Response Model to Account for Adsorption Therapy in Conditions of Diffusion Perturbations and the Organism's Temperature Response. 138-144 - Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko, Pavlo Mykhailovskyi:
IoT Smart Implants: Information Security and the Implementation of Lightweight Cryptography. 145-156 - Alexander Trunov:
Formation of Indicators for Evaluating the Model Based on a Set of Interconnected Data Sets in the Tasks of Communication Technologies in Healthcare. 157-166 - Alina S. Nechyporenko, Marcus Frohme, Vladyslav Omelchenko, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin:
Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning. 167-173
Session 2
- Mamar Khaled, Djamel Gaceb, Fayçal Touazi, Chakib Ammar Aouchiche, Youcef Bellouche, Ayoub Titoun:
New CNN Stacking Model for Classification of Medical Imaging Modalities and Anatomical Organs on Medical Images. 174-188 - Lesia I. Mochurad, Yulianna Mochurad:
Parallel Algorithms for Interpolation with Bezier Curves and B-Splines for Medical Data Recovery. 189-197 - Mariia Nykoniuk, Nataliia Melnykova, Yurii Patereha, Dariusz Sala, Dariusz Cichon:
Classification of Patients with the Development of Alzheimer's Disease using an Ensemble of Machne Learning Models. 198-216 - Houda El Bouhissi, Wissam Aitousekhri, Lahna Asbai:
HelpDiabeto: A user-friendly Tool for Diabetes Tracking and Monitoring. 217-228 - Olga Rybytska, Ivanna Dronyuk, Andriy Pushnyk:
Uncertain Model for Classification of Children's Neurological Diseases. 229-240 - Oleh Berezsky, Oleh Pitsun, Grygoriy Melnyk, Yuriy Batko, Petro Liashchynskyi, Mykola Berezkyy:
MLOps Approach for Automatic Segmentation of Biomedical Images. 241-248 - Alina S. Nechyporenko, Viktor Reshetnik, Alla Dzyza, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin:
The Peculiarities of Measuring Bone Density in Males and Females Using Uncertainty Calculation. 249-254 - Aleksander Trunov, Ivanna Dronyuk, Ivan Skopenko:
Indicators of the Course Remote Procedures Correction according to IoMT the Patient State Assessments in Restorative Medicine. 255-264 - Nataliya Boyko, Iryna Dosiak:
Enhanced Classification Models for Heart Disease Prediction in Precision Medicine. 265-278 - Igor Pavliv, Volodymyr Pasichnyk:
Enhancing the Quality of Medical Services Through the QMS Medical Cloud Platform. 279-291 - Sviatoslav Tyskyi, Solomiia Liaskovska, Andy T. Augousti:
Design Approaches and Tools for the Implementation of a Medicinal Cocktails Recommendation System. 292-302 - Roman Hasko, Oleksandra Hasko, Hakan Kutucu:
Teaching Assistant Robots in Various Fields: Natural Sciences, Medicine and Specific Non-Deterministic Conditions. 303-309 - Denys Maletskyi, Volodymyr Shymanskyi:
Genome Compression Using Program Synthesis. 310-321 - Ivan Izonin, Yaroslav Tolstyak, Veronika Kachmar, Roman Tkachenko, Mariya Rashkevych, Valentyna Chopyak:
A Hybrid Two-ML-based Classifier to Predict the Survival of Kidney Transplants One Month after Transplantation. 322-331 - Oleh Basystiuk, Nataliia Melnykova:
Multimodal Medical Data Learning Approaches for Digital Healthcare. 332-337 - Myroslav Havryliuk, Nazarii Hovdysh, Yaroslav Tolstyak, Valentyna Chopyak, Natalya Kustra:
Investigation of PNN Optimization Methods to Improve Classification Performance in Transplantation Medicine. 338-345
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