Machine Intelligence for Internet of Medical Things: Applications and Future Trends
Saved in:
| Title: | Machine Intelligence for Internet of Medical Things: Applications and Future Trends |
|---|---|
| Description: | This book presents use-cases of IoT, AI and Machine Learning (ML) for healthcare delivery and medical devices. It compiles 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in the medical domain. The objective of the book is to demonstrate how these technologies can be used to keep patients safe and healthy and, at the same time, to empower physicians to deliver superior care. Readers will be familiarized with core principles, algorithms, protocols, emerging trends, security problems, and the latest concepts in e-healthcare services. It also includes a quick overview of deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, practical methodology, and how they can be used to provide better solutions to healthcare related issues. The book is a timely update for basic and advanced readers in medicine, biomedical engineering, and computer science. Key topics covered in the book:o An introduction to the concept of the Internet of Medical Things (IoMT).o Cloud-edge based IoMT architecture and performance optimization in the context of Medical Big Data.o A comprehensive survey on different IoMT interference mitigation techniques for Wireless Body Area Networks (WBANs).o Artificial Intelligence and the Internet of Medical Things.o A review of new machine learning and AI solutions in different medical areas.o A Deep Learning based solution to optimize obstacle recognition for visually impaired patients.o A survey of the latest breakthroughs in Brain-Computer Interfaces and their applications.o Deep Learning for brain tumor detection.o Blockchain and patient data management. |
| Authors: | Mariya, Ouaissa, Mariyam, Ouaissa, Zakaria, Boulouad, Inam, Ullah Khan, Sailesh, Iyer |
| Resource Type: | eBook. |
| Subjects: | Machine learning, Medical care--Data processing, Artificial intelligence--Medical applications, Internet of things |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Data Science / Machine Learning |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 3617730 RelevancyScore: 1116 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1116.28857421875 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3617730$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3617730$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Machine Intelligence for Internet of Medical Things: Applications and Future Trends – Name: Abstract Label: Description Group: Ab Data: This book presents use-cases of IoT, AI and Machine Learning (ML) for healthcare delivery and medical devices. It compiles 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in the medical domain. The objective of the book is to demonstrate how these technologies can be used to keep patients safe and healthy and, at the same time, to empower physicians to deliver superior care. Readers will be familiarized with core principles, algorithms, protocols, emerging trends, security problems, and the latest concepts in e-healthcare services. It also includes a quick overview of deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, practical methodology, and how they can be used to provide better solutions to healthcare related issues. The book is a timely update for basic and advanced readers in medicine, biomedical engineering, and computer science. Key topics covered in the book:o An introduction to the concept of the Internet of Medical Things (IoMT).o Cloud-edge based IoMT architecture and performance optimization in the context of Medical Big Data.o A comprehensive survey on different IoMT interference mitigation techniques for Wireless Body Area Networks (WBANs).o Artificial Intelligence and the Internet of Medical Things.o A review of new machine learning and AI solutions in different medical areas.o A Deep Learning based solution to optimize obstacle recognition for visually impaired patients.o A survey of the latest breakthroughs in Brain-Computer Interfaces and their applications.o Deep Learning for brain tumor detection.o Blockchain and patient data management. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mariya%2C+Ouaissa%22">Mariya, Ouaissa</searchLink><br /><searchLink fieldCode="AR" term="%22Mariyam%2C+Ouaissa%22">Mariyam, Ouaissa</searchLink><br /><searchLink fieldCode="AR" term="%22Zakaria%2C+Boulouad%22">Zakaria, Boulouad</searchLink><br /><searchLink fieldCode="AR" term="%22Inam%2C+Ullah+Khan%22">Inam, Ullah Khan</searchLink><br /><searchLink fieldCode="AR" term="%22Sailesh%2C+Iyer%22">Sailesh, Iyer</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care--Data+processing%22">Medical care--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Business+%26+Productivity+Software+%2F+Business+Intelligence%22">COMPUTERS / Business & Productivity Software / Business Intelligence</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3617730 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 610.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Medical care--Data processing Type: general – SubjectFull: Artificial intelligence--Medical applications Type: general – SubjectFull: Internet of things Type: general Titles: – TitleFull: Machine Intelligence for Internet of Medical Things: Applications and Future Trends Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mariya, Ouaissa – PersonEntity: Name: NameFull: Mariyam, Ouaissa – PersonEntity: Name: NameFull: Zakaria, Boulouad – PersonEntity: Name: NameFull: Inam, Ullah Khan – PersonEntity: Name: NameFull: Sailesh, Iyer – PersonEntity: Name: NameFull: Mariya, Ouaissa – PersonEntity: Name: NameFull: Mariyam, Ouaissa – PersonEntity: Name: NameFull: Zakaria, Boulouad – PersonEntity: Name: NameFull: Inam, Ullah Khan – PersonEntity: Name: NameFull: Sailesh, Iyer IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 30 M: 04 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9789815080452 – Type: isbn-electronic Value: 9789815080445 Numbering: – Type: volume Value: 00002 Titles: – TitleFull: Machine Intelligence for Internet of Medical Things: Applications and Future Trends Type: main |
| ResultId | 1 |