Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond
portes grátis
Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond
Concepts, paradigms, and solutions
Prasad, Vivek Kumar; Bhattacharya, Pronaya; Kathait, Atul; Dutta, Pushan Kumar; Hemanth, D. Jude; Danciulescu, Daniela
Institution of Engineering and Technology
12/2024
422
Dura
9781839539053
15 a 20 dias
Descrição não disponível.
Chapter 1: Navigating the future: secure big data analytics in healthcare's 5G era
Chapter 2: Big data-driven medical image processing technologies and applications
Chapter 3: Challenges in big data analytics monitoring
Chapter 4: Security challenges in big data analytics
Chapter 5: Secure data sharing and collaboration in healthcare analytics
Chapter 6: Enhancing healthcare data security in the era of 5G and Big Data Analytics
Chapter 7: Privacy-preserving techniques for big data analytics in healthcare
Chapter 8: Enabling trustworthy data sharing and collaborative insights in healthcare analytics
Chapter 9: Communication aspects in 5G-assisted big data: a performance review against 4G-LTE frameworks
Chapter 10: Authentication and access control schemes in 5G-based healthcare systems
Chapter 11: Indexing-based approach in document-centric big data
Chapter 12: The AI-mental health dialogue: an investigation of their relationship
Chapter 13: Research on the application of Bayesian deep learning in medical big data
Chapter 14: Causal inference in healthcare: effective evaluation of clinical programs and other applications
Chapter 15: Clinical risk modeling using medical big data: a machine learning approach
Chapter 16: Unlock potential of artificial intelligence and blockchain integration for preserving privacy and medical data: high-fidelity data sharing and healthcare analytics lensing legal aspects
Chapter 17: The nuances of legal deviations in modern computing: a relook into the privacy and data protection laws in India and beyond
Chapter 18: Charting the course: secure big-data analytics and 5G in healthcare's transformative journey
Chapter 2: Big data-driven medical image processing technologies and applications
Chapter 3: Challenges in big data analytics monitoring
Chapter 4: Security challenges in big data analytics
Chapter 5: Secure data sharing and collaboration in healthcare analytics
Chapter 6: Enhancing healthcare data security in the era of 5G and Big Data Analytics
Chapter 7: Privacy-preserving techniques for big data analytics in healthcare
Chapter 8: Enabling trustworthy data sharing and collaborative insights in healthcare analytics
Chapter 9: Communication aspects in 5G-assisted big data: a performance review against 4G-LTE frameworks
Chapter 10: Authentication and access control schemes in 5G-based healthcare systems
Chapter 11: Indexing-based approach in document-centric big data
Chapter 12: The AI-mental health dialogue: an investigation of their relationship
Chapter 13: Research on the application of Bayesian deep learning in medical big data
Chapter 14: Causal inference in healthcare: effective evaluation of clinical programs and other applications
Chapter 15: Clinical risk modeling using medical big data: a machine learning approach
Chapter 16: Unlock potential of artificial intelligence and blockchain integration for preserving privacy and medical data: high-fidelity data sharing and healthcare analytics lensing legal aspects
Chapter 17: The nuances of legal deviations in modern computing: a relook into the privacy and data protection laws in India and beyond
Chapter 18: Charting the course: secure big-data analytics and 5G in healthcare's transformative journey
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Medicine; communications; ICT; networks; data analytics; data science; data security; data protection; securing patient data; privacy; patient records; medical records; authentication; AI for healthcare; clinical risk modelling
Chapter 1: Navigating the future: secure big data analytics in healthcare's 5G era
Chapter 2: Big data-driven medical image processing technologies and applications
Chapter 3: Challenges in big data analytics monitoring
Chapter 4: Security challenges in big data analytics
Chapter 5: Secure data sharing and collaboration in healthcare analytics
Chapter 6: Enhancing healthcare data security in the era of 5G and Big Data Analytics
Chapter 7: Privacy-preserving techniques for big data analytics in healthcare
Chapter 8: Enabling trustworthy data sharing and collaborative insights in healthcare analytics
Chapter 9: Communication aspects in 5G-assisted big data: a performance review against 4G-LTE frameworks
Chapter 10: Authentication and access control schemes in 5G-based healthcare systems
Chapter 11: Indexing-based approach in document-centric big data
Chapter 12: The AI-mental health dialogue: an investigation of their relationship
Chapter 13: Research on the application of Bayesian deep learning in medical big data
Chapter 14: Causal inference in healthcare: effective evaluation of clinical programs and other applications
Chapter 15: Clinical risk modeling using medical big data: a machine learning approach
Chapter 16: Unlock potential of artificial intelligence and blockchain integration for preserving privacy and medical data: high-fidelity data sharing and healthcare analytics lensing legal aspects
Chapter 17: The nuances of legal deviations in modern computing: a relook into the privacy and data protection laws in India and beyond
Chapter 18: Charting the course: secure big-data analytics and 5G in healthcare's transformative journey
Chapter 2: Big data-driven medical image processing technologies and applications
Chapter 3: Challenges in big data analytics monitoring
Chapter 4: Security challenges in big data analytics
Chapter 5: Secure data sharing and collaboration in healthcare analytics
Chapter 6: Enhancing healthcare data security in the era of 5G and Big Data Analytics
Chapter 7: Privacy-preserving techniques for big data analytics in healthcare
Chapter 8: Enabling trustworthy data sharing and collaborative insights in healthcare analytics
Chapter 9: Communication aspects in 5G-assisted big data: a performance review against 4G-LTE frameworks
Chapter 10: Authentication and access control schemes in 5G-based healthcare systems
Chapter 11: Indexing-based approach in document-centric big data
Chapter 12: The AI-mental health dialogue: an investigation of their relationship
Chapter 13: Research on the application of Bayesian deep learning in medical big data
Chapter 14: Causal inference in healthcare: effective evaluation of clinical programs and other applications
Chapter 15: Clinical risk modeling using medical big data: a machine learning approach
Chapter 16: Unlock potential of artificial intelligence and blockchain integration for preserving privacy and medical data: high-fidelity data sharing and healthcare analytics lensing legal aspects
Chapter 17: The nuances of legal deviations in modern computing: a relook into the privacy and data protection laws in India and beyond
Chapter 18: Charting the course: secure big-data analytics and 5G in healthcare's transformative journey
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
