Articles liés à Preserving Medical Big Data Security with Soft Computing
- ÉditeurMeem Publishers
- Date d'édition2023
- ISBN 10 8625526187
- ISBN 13 9788625526181
- ReliureBroché
- Langueanglais
- Nombre de pages120
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Preserving Medical Big Data Security with Soft Computing
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Preserving Medical Big Data Security with Soft Computing
Edité par
MEEM PUBLISHERS Jul 2023, 2023
ISBN 10 : 8625526187
ISBN 13 : 9788625526181
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This focuses on the security and privacy preservation of medical big data using soft computing techniques. As the volume of medical data continues to grow, ensuring its security and protecting patient privacy become paramount. The research aims to employ soft computing techniques to address these challenges effectively.Soft computing methods, such as fuzzy logic, neural networks, and genetic algorithms, will be explored for their potential in securing medical big data and preserving patient privacy. These techniques can aid in data encryption, anonymization, access control, and anomaly detection, safeguarding sensitive medical information from unauthorized access and potential cyber-attacks.This will evaluate the performance of different soft computing approaches in terms of data protection, computation efficiency, and scalability. Special emphasis will be placed on adhering to privacy regulations and ethical considerations concerning medical data.The outcomes of this research have the potential to significantly impact the healthcare industry. By effectively implementing soft computing techniques, the security and privacy of medical big data can be enhanced, instilling confidence in patients, healthcare providers, and stakeholders regarding data confidentiality. Furthermore, the findings may contribute to the development of robust and privacy-preserving systems that promote data sharing and collaboration in medical research while upholding the highest standards of data protection.By employing these methods, the study seeks to address data protection challenges and pave the way for safer and more reliable data management practices within the healthcare domain. 120 pp. Englisch. N° de réf. du vendeur 9788625526181
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Preserving Medical Big Data Security with Soft Computing
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Preserving Medical Big Data Security with Soft Computing
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This focuses on the security and privacy preservation of medical big data using soft computing techniques. As the volume of medical data continues to grow, ensuring its security and protecting patient privacy become paramount. The research aims to employ soft computing techniques to address these challenges effectively.Soft computing methods, such as fuzzy logic, neural networks, and genetic algorithms, will be explored for their potential in securing medical big data and preserving patient privacy. These techniques can aid in data encryption, anonymization, access control, and anomaly detection, safeguarding sensitive medical information from unauthorized access and potential cyber-attacks.This will evaluate the performance of different soft computing approaches in terms of data protection, computation efficiency, and scalability. Special emphasis will be placed on adhering to privacy regulations and ethical considerations concerning medical data.The outcomes of this research have the potential to significantly impact the healthcare industry. By effectively implementing soft computing techniques, the security and privacy of medical big data can be enhanced, instilling confidence in patients, healthcare providers, and stakeholders regarding data confidentiality. Furthermore, the findings may contribute to the development of robust and privacy-preserving systems that promote data sharing and collaboration in medical research while upholding the highest standards of data protection.By employing these methods, the study seeks to address data protection challenges and pave the way for safer and more reliable data management practices within the healthcare domain. N° de réf. du vendeur 9788625526181
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