Mediterranean Forum – Data Science Conference: First International Conference, MeFDATA 2020, Sarajevo, Bosnia and Herzegovina, October 24, 2020, ... in Computer and Information Science)

This book constitutes selected and revised papers from the First Mediterranean Forum - Data Science Conference, MeFDATA 2020, held in Sarajevo, Bosnia and Herzegovina, in October 2020. The 11 papers presented were carefully reviewed and selected from the 26 qualified submissions. The papers are organized in the topical sections on human behaviour and pandemic; applications in medicine; industrial applications; natural language processing. Preface Organization Contents Human Behaviour and Pandemic Predicting the Coronavirus Spread Based on Countries' Long-Term Socio-Economic Indicators 1 Introduction 2 Related Work 3 Methodology 3.1 Information Regarding COVID-19 3.2 Country Statistics 3.3 Preparing the Dataset 3.4 Predicting the Parameters of the COVID-19 Curve 4 Results 4.1 Classification 5 Discussion 5.1 Issues with Data Fitting 6 Conclusion References Statistical Predictive Analysis of Tobacco Consumption Among Different Age Groups Using Online Survey 1 Introduction 2 Data Collection and Analysis 3 Probability Statistics 4 Hypothesis Testing 5 Conclusion References The Influence of Stringency Measures and Socio-Economic Data on COVID-19 Outcomes 1 Introduction 2 Background 2.1 Related Work 2.2 Regression Algorithms 3 Dataset 4 Methods 5 Results 6 Discussion 7 Conclusions Appendix References Applications in Medicine 3D Vessel Segmentation in CT for Augmented and Virtual Reality 1 Introduction 2 Materials and Methods 3 Results 4 Discussion and Conclusions References A Model of Pupillometric Signals for Studying Inherited Retinal Diseases in Childhood Population 1 Introduction 2 Materials and Methods 2.1 Dataset 2.2 Model for the Signal 2.3 Parameter Estimation, Fitting and Optimization 3 Results 4 Discussion and Conclusions References The Use of Data Science for Decision Making in Medicine: The Microbial Community of the Gut and Autism Spectrum Disorders 1 Introduction 2 Background 2.1 Related Work 3 Methodology 3.1 Dataset 3.2 Obtaining Bacterial Abundances 3.3 Random Forest Classifier 3.4 Differences in Gut Microbiome Structure Between Children with ASD and Neurotypical Children as Inferred by Statistical Analysis of Datasets 3.5 Results 4 Discussion 5 Conclusions References Industrial Applications Deep Ensemble Approach for RUL Estimation of Aircraft Engines 1 Introduction 1.1 State of the Art and Related Works 1.2 Our Approach 2 Proposed Approach 2.1 Data Preprocessing 2.2 Convolutional Neural Network Model 2.3 Long Short Term Memory Model 2.4 RUL Fusion 3 Experimental Data 4 Results and Discussion 5 Conclusion References Designing an Indoor Real-Time Location System for Healthcare Facilities 1 Introduction 2 Methods 3 Results 3.1 Off-Site Navigation 3.2 On-Site Navigation 4 Conclusions References Sequential Pattern Mining Method for Predictive Maintenance of Large Mining Trucks 1 Introduction 2 Experiments 2.1 Dataset Details 2.2 Methodology. 3 Experimental Results 3.1 Pattern Results for Failure Code 1104 3.2 Pattern Results for Failure Code 1140 3.3 Pattern Results for Failure Code 1143 4 Conclusion and Future Work References Natural Language Processing Classification and Analysis of Personal and Commercial CBD Tweets 1 Introduction 2 Related Work 3 Methodology 4 Results 5 Conclusion References Finding Records in Social Media: A Natural Language Processing Fundamentals Exploration 1 Introduction 2 Related Works 3 Dataset 4 Pre-processing 5 Experiments 6 Discussions and Conclusion References Author Index