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pHealth 2020: Prague, Czech Republic
- Bernd Blobel, Lenka Lhotská, Peter Pharow, Filipe Sousa:
pHealth 2020 - Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health - 14-16 September 2020, Prague, Czech Republic. Studies in Health Technology and Informatics 273, IOS Press 2020, ISBN 978-1-64368-112-2
Research Article
- Bernd Blobel, Pekka Ruotsalainen, Frank Oemig:
Why Interoperability at Data Level Is Not Sufficient for Enabling pHealth? 3-20 - Lenka Lhotská:
Application of Industry 4.0 Concept to Health Care. 23-37 - George I. Mihalas, Minodora Andor, Anca Tudor:
Adding Sound to Medical Data. 38-53 - Stephen Kay, Giorgio Cangioli, Michael Nusbaum:
The International Patient Summary Standard and the Extensibility Requirement. 54-62 - Pekka Ruotsalainen, Bernd Blobel:
Privacy Is Dead - Solutions for Privacy-Enabled Collections and Use of Personal Health Information in Digital Era. 63-74 - Frank Oemig, Bernd Blobel:
The Value of Domain Information Models for Achieving Interoperability. 75-82 - Kerstin Denecke, Richard May, Annkathrin Pöpel, Sandra Lutz Hochreutener:
Can a Chatbot Increase the Motivation to Provide Personal Health Information? 85-90 - David Sebastian Martinez Lema, Aleksei Karavaev, Jan Hýbl, Jan Hejda, Petr Volf, Patrik Kutilek:
Control System of a Lower-Extremity Exoskeleton Based on the Artificial Neural Network. 91-96 - Inna Skarga-Bandurova, Rostyslav Siriak, Tetiana Biloborodova, Fabio Cuzzolin, Vivek Singh Bawa, Mohamed Ibrahim Mohamed, R. Dinesh Jackson Samuel:
Surgical Hand Gesture Prediction for the Operating Room. 97-103 - Oleg G. Metsker, Georgy D. Kopanitsa, Eduard Komlichenko, Maria Yanushanets, Ekaterina V. Bolgova:
Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning. 104-108 - Oleg G. Metsker, Georgy D. Kopanitsa, Ekaterina V. Bolgova:
Prediction of Childbirth Mortality Using Machine Learning. 109-114 - Linda Vis, Sanne Koole, Anneke T. M. Goossen-Baremans, Harrie Huisman, William Goossen:
Semantic Cross-Mapping Execution of Data in the Perinatal Registry of the Netherlands. 117-122 - Ilia V. Derevitskii, Sergey V. Kovalchuk:
Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients. 123-128 - Michal Huptych, Lenka Lhotská:
Representation and Interpretation of Genetic Analysis: A Strategy of Development for the Personal Genetics Card Information System. 129-135 - Oleg G. Metsker, Kirill Magoev, Stanislav Yanishevskiy, Alexey N. Yakovlev, Georgy D. Kopanitsa, Nadezhda Zvartau:
Identification of Diabetes Risk Factors in Chronic Cardiovascular Patients. 136-141 - Jindrich Adolf, Jaromir Dolezal, Patrik Kutilek, Michaela Hourova, Jan Hejda, Iva Milerská, Lenka Lhotská:
Automatic Telerehabilitation System in a Home Environment Using Computer Vision. 142-148 - Martin Macas, Kyriaki Saiti, Lenka Lhotská, Katerina Stechová, Pavlína Pithová:
Direct Versus Iterated Multi-Step Forecasting of Glycaemia in Type 1 Diabetics Using Autoregressive Models. 149-154 - Angelos Papoutsis, Giannis Botilias, Petros S. Karvelis, Chrysostomos D. Stylios:
A Machine Learning Approach for Human Activity Recognition. 155-160 - Nada Sahlab, Nasser Jazdi:
AI-Based Elderly Assistance Systems. 163-169 - Iuliia Lenivtceva, Mariya Kashina, Georgy D. Kopanitsa:
Category of Allergy Identification from Free-Text Medical Records for Data Interoperability. 170-175 - Joana Silva, Diana Gomes, Inês Sousa:
Technological Solution for Pervasive Fall Risk Assessment. 176-181 - Angelina Kouroubali, Haridimos Kondylakis, Georgios Kavlentakis, Fokion Logothetidis, Nikos Stathiakis, Yannis Petrakis, Vassilis Tzikoulis, Stavros Kostomanolakis, Dimitrios G. Katehakis:
An eHealth Platform for the Holistic Management of COVID-19. 182-188 - Jaime Pereira, Juliana Teixeira, Inês Lopes, Filipe Sousa:
Evolution of SmartBEAT for Heart Failure Telemonitoring. 189-194 - Michaela Hourova, Patrik Kutilek, Jan Hejda, Slavka Viteckova, Miroslav Janura, Lucia Bizovska, Marketa Hamrikova, Petr Volf, Zdenek Svoboda:
Evaluation of Postural Stability Differences in the Elderly Through Recurrent Analysis. 197-202 - Helena Lindgren, Esteban Guerrero, Monika Jingar, Kristina Lindvall, Nawi Ng, Linda Richter Sundberg, Ailiana Santosa, Lars Weinehall:
The STAR-C Intelligent Coach: A Cross-Disciplinary Design Process of a Behavior Change Intervention in Primary Care. 203-208 - Jack Dowie:
COVID-19, the Swedish 'Experiment', and Me. 211-216 - Jack Dowie, Mette Kjer Kaltoft, Vije Kumar Rajput:
Evaluations of Decision Support Tools Are Preference-Sensitive and Interest-Conflicted: The Case of Deliberation Aids. 217-222 - Oleg G. Metsker, Georgy D. Kopanitsa, Alexey N. Yakovlev, Karlina Veronika, Nadezhda Zvartau:
Survival Analysis of COVID-19 Patients in Russia Using Machine Learning. 223-227 - Mattias Georgsson:
A Review of Usability Methods Used in the Evaluation of Mobile Health Applications for Diabetes. 228-233 - Benita Johannsen, Daniel Mark, Noémie Boillat-Blanco, Alain Fresco, Desirée Baumgartner, Roland Zengerle, Konstantinos Mitsakakis:
Rapid Diagnosis of Respiratory Tract Infections Using a Point-of-Care Platform Incorporating a Clinical Decision Support Algorithm. 234-239 - Georgy D. Kopanitsa:
Follow-Up on the Abnormal Laboratory Test Results with Automatic Interpretation. 240-245 - Daniel Diaz, Juan Gil, Steban Cadena, María Trujillo:
Psique: Computerised Neuropsychological Assessment. 249-251 - Federico Sternini, Giuseppe Fenza, Domenico Furno, Francesco Orciuoli Jr., Alice Ravizza, Federico Cabitza:
A Novel Method for Validating Multi-Classifiers. A Case Study for ICF-Based Health Status Classification. 252-254 - George Manis, Stergios V. Anastasiadis:
Estimation of HRV Based on Low Frequency Data Transmission. 255-257 - Vije Kumar Rajput, Jack Dowie, Mette Kjer Kaltoft:
People Living with Multiple Long-Term Conditions: Meeting the Challenges of Personalized Decision Making. 258-261 - Georgy D. Kopanitsa, Oleg G. Metsker, Alexey N. Yakovlev, Alexey N. Fedorenko, Nadezhda Zvartau:
Modelling of COVID-19 Morbidity in Russia. 262-265 - Giannis Botilias, Angelos Papoutsis, Petros S. Karvelis, Chrysostomos D. Stylios:
Track My Health: An IoT Approach for Data Acquisition and Activity Recognition. 266-271
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