Intelligent Health Services Based on Biomedical Smart Sensors
Health services can be improved by means of intelligent techniques that handle efficiently massive volumes of data collected from biomedical variables. Nowadays, these services are not only oriented to disease diagnosis and prevention, but wellness too. Advanced technologies and last trends in compu...
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Format: | Article |
Language: | English |
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MDPI AG
2020-11-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/10/23/8497 |
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author | Ricardo Colomo-Palacios Juan A. Gómez-Pulido Alfredo J. Pérez |
author_facet | Ricardo Colomo-Palacios Juan A. Gómez-Pulido Alfredo J. Pérez |
author_sort | Ricardo Colomo-Palacios |
collection | DOAJ |
description | Health services can be improved by means of intelligent techniques that handle efficiently massive volumes of data collected from biomedical variables. Nowadays, these services are not only oriented to disease diagnosis and prevention, but wellness too. Advanced technologies and last trends in computing, internet of things, sensors, and data science are driving the development of new systems and applications in the area of intelligent health services based on biomedical smart sensors that deserve to be known. Through five research articles and a review, this Special Issue provides the opportunity to obtain a representative view of the potential of these technologies when applied to such a human welfare-oriented area. |
first_indexed | 2024-03-10T14:29:54Z |
format | Article |
id | doaj.art-6f059c3019df4881b8bac38e6b2773bc |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T14:29:54Z |
publishDate | 2020-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-6f059c3019df4881b8bac38e6b2773bc2023-11-20T22:41:19ZengMDPI AGApplied Sciences2076-34172020-11-011023849710.3390/app10238497Intelligent Health Services Based on Biomedical Smart SensorsRicardo Colomo-Palacios0Juan A. Gómez-Pulido1Alfredo J. Pérez2Department of Computer Science, Østfold University College, 1783 Halden, NorwayDepartment of Technologies of Computers and Communications, University of Extremadura, 10003 Cáceres, SpainTSYS School of Computer Science, Columbus State University, Columbus, GA 31907, USAHealth services can be improved by means of intelligent techniques that handle efficiently massive volumes of data collected from biomedical variables. Nowadays, these services are not only oriented to disease diagnosis and prevention, but wellness too. Advanced technologies and last trends in computing, internet of things, sensors, and data science are driving the development of new systems and applications in the area of intelligent health services based on biomedical smart sensors that deserve to be known. Through five research articles and a review, this Special Issue provides the opportunity to obtain a representative view of the potential of these technologies when applied to such a human welfare-oriented area.https://www.mdpi.com/2076-3417/10/23/8497biomedical sensorsInternet of Thingsbiomedical datadata mining and big data analysisintelligent systems for healthmachine and deep learning |
spellingShingle | Ricardo Colomo-Palacios Juan A. Gómez-Pulido Alfredo J. Pérez Intelligent Health Services Based on Biomedical Smart Sensors Applied Sciences biomedical sensors Internet of Things biomedical data data mining and big data analysis intelligent systems for health machine and deep learning |
title | Intelligent Health Services Based on Biomedical Smart Sensors |
title_full | Intelligent Health Services Based on Biomedical Smart Sensors |
title_fullStr | Intelligent Health Services Based on Biomedical Smart Sensors |
title_full_unstemmed | Intelligent Health Services Based on Biomedical Smart Sensors |
title_short | Intelligent Health Services Based on Biomedical Smart Sensors |
title_sort | intelligent health services based on biomedical smart sensors |
topic | biomedical sensors Internet of Things biomedical data data mining and big data analysis intelligent systems for health machine and deep learning |
url | https://www.mdpi.com/2076-3417/10/23/8497 |
work_keys_str_mv | AT ricardocolomopalacios intelligenthealthservicesbasedonbiomedicalsmartsensors AT juanagomezpulido intelligenthealthservicesbasedonbiomedicalsmartsensors AT alfredojperez intelligenthealthservicesbasedonbiomedicalsmartsensors |