Blockchain and Machine Learning for e-Healthcare Systems:
Blockchain and machine learning technologies can mitigate the issues such as slow access of medical data, system interoperability, patient agency, improved data quality and quantity for medical research. Blockchain technology facilitates to store information in such a way that doctors can see a pati...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
<<The>> Institution of Engineering and Technology, IET
2020
|
| Schriftenreihe: | Healthcare technologies series
29 |
| Online-Zugang: | UBY01 UER01 Volltext |
| Zusammenfassung: | Blockchain and machine learning technologies can mitigate the issues such as slow access of medical data, system interoperability, patient agency, improved data quality and quantity for medical research. Blockchain technology facilitates to store information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization and self-sovereign identity of blockchain technologies have tremendous potential to rebalance and improve machine learning algorithms. In healthcare, blockchain is used to store correct information that is unaltered and permanent, and machine learning can make use of this data to notice patterns and give accurate predictions. This provides more support for the patients and also in research-related fields where there is a need for accurate data to predict credible results. The book explores the concepts and techniques of blockchain and machine learning. Also, the possibility of applying blockchain and machine learning for the enhancement of e-healthcare system is discussed. The specific highlight of the book is on the application of blockchain technology in any area of supply chain, drug verification, reimbursement, control access and clinical trials of healthcare |
| Beschreibung: | 1 Online-Ressource (481 Seiten) |
| ISBN: | 9781839531156 |
| DOI: | 10.1049/PBHE029E |
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| id | DE-604.BV047561009 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:27:28Z |
| indexdate | 2024-07-10T09:14:42Z |
| institution | BVB |
| isbn | 9781839531156 |
| language | English |
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| physical | 1 Online-Ressource (481 Seiten) |
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| publishDate | 2020 |
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| publisher | <<The>> Institution of Engineering and Technology, IET |
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| series | Healthcare technologies series |
| series2 | Healthcare technologies series |
| spelling | Blockchain and Machine Learning for e-Healthcare Systems edited by Balamurugan Balusamy, Naveen Chilamkurti, Lucia Agnes Beena T, Poongodi T London <<The>> Institution of Engineering and Technology, IET 2020 1 Online-Ressource (481 Seiten) txt rdacontent c rdamedia cr rdacarrier Healthcare technologies series 29 Blockchain and machine learning technologies can mitigate the issues such as slow access of medical data, system interoperability, patient agency, improved data quality and quantity for medical research. Blockchain technology facilitates to store information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization and self-sovereign identity of blockchain technologies have tremendous potential to rebalance and improve machine learning algorithms. In healthcare, blockchain is used to store correct information that is unaltered and permanent, and machine learning can make use of this data to notice patterns and give accurate predictions. This provides more support for the patients and also in research-related fields where there is a need for accurate data to predict credible results. The book explores the concepts and techniques of blockchain and machine learning. Also, the possibility of applying blockchain and machine learning for the enhancement of e-healthcare system is discussed. The specific highlight of the book is on the application of blockchain technology in any area of supply chain, drug verification, reimbursement, control access and clinical trials of healthcare Balusamy, Balamurugan (DE-588)123627511X edt Chilamkurti, Naveen 1974- (DE-588)112606114X edt Beena, Lucia Agnes T. edt Poongodi, T. (DE-588)1230498648 edt Erscheint auch als Druck-Ausgabe 978-1-83953-114-9 Healthcare technologies series 29 (DE-604)BV047152860 29 https://doi.org/10.1049/PBHE029E Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Blockchain and Machine Learning for e-Healthcare Systems Healthcare technologies series |
| title | Blockchain and Machine Learning for e-Healthcare Systems |
| title_auth | Blockchain and Machine Learning for e-Healthcare Systems |
| title_exact_search | Blockchain and Machine Learning for e-Healthcare Systems |
| title_exact_search_txtP | Blockchain and Machine Learning for e-Healthcare Systems |
| title_full | Blockchain and Machine Learning for e-Healthcare Systems edited by Balamurugan Balusamy, Naveen Chilamkurti, Lucia Agnes Beena T, Poongodi T |
| title_fullStr | Blockchain and Machine Learning for e-Healthcare Systems edited by Balamurugan Balusamy, Naveen Chilamkurti, Lucia Agnes Beena T, Poongodi T |
| title_full_unstemmed | Blockchain and Machine Learning for e-Healthcare Systems edited by Balamurugan Balusamy, Naveen Chilamkurti, Lucia Agnes Beena T, Poongodi T |
| title_short | Blockchain and Machine Learning for e-Healthcare Systems |
| title_sort | blockchain and machine learning for e healthcare systems |
| url | https://doi.org/10.1049/PBHE029E |
| volume_link | (DE-604)BV047152860 |
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