TY  - BOOK
AU  - Moita,Ana
AU  - Bühler,Katja
AU  - Ali,Hesham
AU  - Deng,Ning
AU  - Chouvarda,Ioanna
AU  - Cabitza,Federico
AU  - Fred,Ana
AU  - Gamboa,Hugo
ED  - SpringerLink (Online service)
TI  - Biomedical Engineering Systems and Technologies: 16th International Joint Conference, BIOSTEC 2023, Lisbon, Portugal, February 16-18, 2023, Revised Selected Papers 
T2  - Communications in Computer and Information Science,
SN  - 9783031670886
AV  - R858-859.7 
U1  - 610.285 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Medical informatics
KW  - Application software
KW  - Computer engineering
KW  - Computer networks 
KW  - Artificial intelligence
KW  - Image processing
KW  - Digital techniques
KW  - Computer vision
KW  - Health Informatics
KW  - Computer and Information Systems Applications
KW  - Computer Engineering and Networks
KW  - Artificial Intelligence
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
N1  - Towards Robust Homography Estimation for Forward-Motion Panorama for Multi-Camera Wireless Capsule Endoscopy Videos -- Estimation of Fluid Intake Volume from Surface Electromyography Signals: A Comparative Study between Subject-Specific and Global Regression Techniques -- Epileptic Seizure Detection and Prediction for Patient Support -- Topic Modelling and Interpretable Cost Estimation for Medical Insurance Fraud Detection -- Improving Patient Trajectory Forecasts in Hospitals: Using Emergency Department Data for Length of Stay Prediction and Next Hospital Unit Classification -- Suroy-Suroy: An Immersive Virtual Reality Therapy Game for Persons Living with Dementia in the Philippines -- The Impact of Feature Selection on Balancing, Based on Diabetes Data
N2  - This book constitutes the refereed post-conference proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2023, held in Lisbon, Portugal, during February 16-18, 2023. The 7 regular papers included in this book were carefully reviewed and selected from 246 submissions. They contribute to the understanding of relevant trends of current research on Biomedical Engineering Systems and Technologies, that include Pattern Recognition and Machine Learning, Decision Support Systems, Data Mining and Data Analysis, eHealth Applications, eHealth, Detection and Identification, Computational Intelligence, Cognitive Informatics, Big Data in Healthcare and Assistive Technologies
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-67088-6
ER  -