Information Technologies Applied on Healthcare
By the year 2030, it is expected that young people will use e-health services more, and emergent technologies, including Artificial Intelligence, Big Data, the Web, IoT Technologies, and mobile devices, as well as governmental policies, will play a crucial role in successfully delivering relevant da...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20240704_9783725811274_73 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
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| _version_ | 1869515462046384128 |
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| collection | Directory of Open Access Books |
| description | By the year 2030, it is expected that young people will use e-health services more, and emergent technologies, including Artificial Intelligence, Big Data, the Web, IoT Technologies, and mobile devices, as well as governmental policies, will play a crucial role in successfully delivering relevant data to health professionals, thereby allowing them to obtain information and advice that benefit health consumers. This Special Issue collects and consolidates innovative and high-quality research contributions regarding Information Technologies Applied on Healthcare to different disciplines and its challenges such as the following: the systematization and standardization of healthcare information systems, the detection of diseases at early stages, open healthcare data, integrated health services, cybersecurity and data protection in healthcare, interoperability data health, information technologies in healthcare, human–computer interaction (HCI) in healthcare, intelligent medical devices and smart technologies, artificial intelligent techniques applied to healthcare, digital healthcare, telehealth (telemonitoring for diseases, remote consultation, and remote education and support), prognosis, diagnosis and treatment in healthcare, big data analytics for healthcare, computer games for healthcare, m-Health, smart technologies for healthcare, predictive modeling and analytics for healthcare, computer vision in healthcare, and healthcare decision support systems. |
| format | Online |
| id | doab-20.500.12854ir-139277 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1392772024-07-04T09:35:24Z Information Technologies Applied on Healthcare Alor-Hernández, Giner Mejía-Miranda, Jezreel Sánchez-Cervantes, José Luis Rodríguez-González, Alejandro Internet of Healthcare Things human activity recognition smart technologies for healthcare m-Health mobile devices digital healthcare artificial intelligence expert system robust design feature selection COVID-19 disease prediction genetic algorithm healthcare convolutional neural network deep learning Mobile-Net SSD Pose-Net posture recognition tensor flow lite digital transformation health information systems emerging technologies Health 4.0 empirical study health information system information system knowledge management depression text classification knowledge distillation dimensionality reduction Twitter geriatric care IoT vital parameters image recognition non-contact monitoring anxiety anxiety prediction fuzzy logic fuzzy inference system quality of healthcare service internet-based health service Chinese medicine healthcare knowledge service blockchain blockchain barriers blockchain in healthcare future of healthcare blockchain GCC countries thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis By the year 2030, it is expected that young people will use e-health services more, and emergent technologies, including Artificial Intelligence, Big Data, the Web, IoT Technologies, and mobile devices, as well as governmental policies, will play a crucial role in successfully delivering relevant data to health professionals, thereby allowing them to obtain information and advice that benefit health consumers. This Special Issue collects and consolidates innovative and high-quality research contributions regarding Information Technologies Applied on Healthcare to different disciplines and its challenges such as the following: the systematization and standardization of healthcare information systems, the detection of diseases at early stages, open healthcare data, integrated health services, cybersecurity and data protection in healthcare, interoperability data health, information technologies in healthcare, human–computer interaction (HCI) in healthcare, intelligent medical devices and smart technologies, artificial intelligent techniques applied to healthcare, digital healthcare, telehealth (telemonitoring for diseases, remote consultation, and remote education and support), prognosis, diagnosis and treatment in healthcare, big data analytics for healthcare, computer games for healthcare, m-Health, smart technologies for healthcare, predictive modeling and analytics for healthcare, computer vision in healthcare, and healthcare decision support systems. 2024-07-04T09:35:19Z 2024-07-04T09:35:19Z 2024 book ONIX_20240704_9783725811274_73 9783725811274 9783725811281 https://directory.doabooks.org/handle/20.500.12854/139277 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9273 https://mdpi.com/books/pdfview/book/9273 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1128-1 10.3390/books978-3-7258-1128-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725811274 9783725811281 204 open access |
| spellingShingle | Internet of Healthcare Things human activity recognition smart technologies for healthcare m-Health mobile devices digital healthcare artificial intelligence expert system robust design feature selection COVID-19 disease prediction genetic algorithm healthcare convolutional neural network deep learning Mobile-Net SSD Pose-Net posture recognition tensor flow lite digital transformation health information systems emerging technologies Health 4.0 empirical study health information system information system knowledge management depression text classification knowledge distillation dimensionality reduction geriatric care IoT vital parameters image recognition non-contact monitoring anxiety anxiety prediction fuzzy logic fuzzy inference system quality of healthcare service internet-based health service Chinese medicine healthcare knowledge service blockchain blockchain barriers blockchain in healthcare future of healthcare blockchain GCC countries thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis Information Technologies Applied on Healthcare |
| title | Information Technologies Applied on Healthcare |
| title_full | Information Technologies Applied on Healthcare |
| title_fullStr | Information Technologies Applied on Healthcare |
| title_full_unstemmed | Information Technologies Applied on Healthcare |
| title_short | Information Technologies Applied on Healthcare |
| title_sort | information technologies applied on healthcare |
| topic | Internet of Healthcare Things human activity recognition smart technologies for healthcare m-Health mobile devices digital healthcare artificial intelligence expert system robust design feature selection COVID-19 disease prediction genetic algorithm healthcare convolutional neural network deep learning Mobile-Net SSD Pose-Net posture recognition tensor flow lite digital transformation health information systems emerging technologies Health 4.0 empirical study health information system information system knowledge management depression text classification knowledge distillation dimensionality reduction geriatric care IoT vital parameters image recognition non-contact monitoring anxiety anxiety prediction fuzzy logic fuzzy inference system quality of healthcare service internet-based health service Chinese medicine healthcare knowledge service blockchain blockchain barriers blockchain in healthcare future of healthcare blockchain GCC countries thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis |
| topic_facet | Internet of Healthcare Things human activity recognition smart technologies for healthcare m-Health mobile devices digital healthcare artificial intelligence expert system robust design feature selection COVID-19 disease prediction genetic algorithm healthcare convolutional neural network deep learning Mobile-Net SSD Pose-Net posture recognition tensor flow lite digital transformation health information systems emerging technologies Health 4.0 empirical study health information system information system knowledge management depression text classification knowledge distillation dimensionality reduction geriatric care IoT vital parameters image recognition non-contact monitoring anxiety anxiety prediction fuzzy logic fuzzy inference system quality of healthcare service internet-based health service Chinese medicine healthcare knowledge service blockchain blockchain barriers blockchain in healthcare future of healthcare blockchain GCC countries thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis |
| url | ONIX_20240704_9783725811274_73 |