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22. Preface

25. Automated Assessment of Balance Rehabilitation Exercises With a Data-Driven Scoring Model: Algorithm Development and Validation Study

29. Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data

30. Analysis of the sentiments of the participants in a clinical study to evaluate a balance rehabilitation intervention delivered by a Virtual Coach

32. A data-driven scoring model for automated assessment of balance rehabilitation exercises (Preprint)

33. Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior Guidelines

38. A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme

39. Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles

40. Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren's Syndrome Patients

42. Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults

45. A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data

46. A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution

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