Privacy-Preserving Techniques with e-Healthcare Applications

von Dan Zhu, Dengguo Feng, Xuemin (Sherman) Shen

174 Seiten, Hardcover

Kurzbeschreibung des Verlags

This book investigates novel accurate and efficient privacy-preserving techniques and their applications in e-Healthcare services. The authors first provide an overview and a general architecture of e-Healthcare and delve into discussions on various applications within the e-Healthcare domain. Simultaneously, they analyze the privacy challenges in e-Healthcare services. Then, in Chapter 2, the authors give a comprehensive review of privacy-preserving and machine learning techniques applied in their proposed solutions. Specifically, Chapter 3 presents an efficient and privacy-preserving similar patient query scheme over high-dimensional and non-aligned genomic data; Chapter 4 and Chapter 5 respectively propose an accurate and privacy-preserving similar image retrieval scheme and medical pre-diagnosis scheme over dimension-related medical images and single-label medical records; Chapter 6 presents an efficient and privacy-preserving multi-disease simultaneous diagnosis scheme over medical records with multiple labels. Finally, the authors conclude the monograph and discuss future research directions of privacy-preserving e-Healthcare services in Chapter 7.

• Reihe: Wireless Networks
• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Elektronik, Nachrichtentechnik Nachrichtententechnik, Telekommunikation
• ISBN: 9783031769214
• Sprache: Englisch
• Erscheinungsdatum: 14.12.2024
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing