ISBN: 9781839531149 - blockchain and machine learning for e-healthcare systems (healthcare technologies) (16 Ergebnisse)

Blockchain and Machine Learning for e-Healthcare Systems
Balamurugan, Balusamy (EDT); Chilamkurti, Naveen (EDT); Beena, T. Lucia Agnes (EDT); Poongodi, T. (EDT)
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
- Hardcover
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Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2021
- Hardcover
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Hardback. Zustand: New. Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of 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. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.…

Blockchain and Machine Learning for e-Healthcare Systems
Balamurugan, Balusamy (EDT); Chilamkurti, Naveen (EDT); Beena, T. Lucia Agnes (EDT); Poongodi, T. (EDT)
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
- Hardcover
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
- Hardcover
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Blockchain and Machine Learning for e-Healthcare Systems
Balamurugan, Balusamy (EDT); Chilamkurti, Naveen (EDT); Beena, T. Lucia Agnes (EDT); Poongodi, T. (EDT)
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
- Hardcover
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Blockchain and Machine Learning for e-Healthcare Systems
Balamurugan, Balusamy (EDT); Chilamkurti, Naveen (EDT); Beena, T. Lucia Agnes (EDT); Poongodi, T. (EDT)
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
- Hardcover
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
- Hardcover
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Zustand: New. In English.

Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2021
- Hardcover
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Hardback. Zustand: New. Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of 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. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.…

Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2021
- Hardcover
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Hardback. Zustand: New. Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of 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. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.…

- Hardcover
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Hardcover. Zustand: Brand New. 457 pages. 9.25x6.25x1.00 inches. In Stock.

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Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Blockchain technology and its relevance in healthcaren Chapter 2: Privacy issues in blockchainn Chapter 3: Reforming the traditional business networkn Chapter 4: A deep dive i.

Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2021
- Hardcover
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Hardback. Zustand: New. Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of 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. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.…

Sprache: Englisch
Verlag: Institution Of Engineering & Technology Jan 2021, 2021
- Hardcover
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Buch. Zustand: Neu. Neuware - Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of 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. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.…

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