03852nam 22006255 450 991091778850332120241213115313.09783031769221303176922810.1007/978-3-031-76922-1(MiAaPQ)EBC31837051(Au-PeEL)EBL31837051(CKB)37018346200041(DE-He213)978-3-031-76922-1(OCoLC)1482824592(EXLCZ)993701834620004120241213d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPrivacy-Preserving Techniques with e-Healthcare Applications /by Dan Zhu, Dengguo Feng, Xuemin (Sherman) Shen1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (184 pages)Wireless Networks,2366-14459783031769214 303176921X Introduction -- An Overview of e-Healthcare -- Privacy-Preserving and Machine-Learning Techniques -- Privacy-Preserving Similar Patient Query Services over Genomic Data -- Privacy-Preserving Similarity Retrieval Services over Medical Images -- Privacy-Preserving Pre-diagnosis Services over Single-label Medical Records -- Privacy-Preserving Pre-diagnosis Services over Multi-label Medical Records -- Future Works -- Conclusion.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. Studies the issues and challenges of privacy-preserving techniques applied in e-Healthcare services; Focuses on common and distinctive medical data, investigating accurate e-Healthcare services with privacy preservation; Proposes solutions with proof-of-concept prototypes, tested on real and simulated datasets.Wireless Networks,2366-1445TelecommunicationMedical informaticsComputational intelligenceCommunications Engineering, NetworksHealth InformaticsComputational IntelligenceTelecommunication.Medical informatics.Computational intelligence.Communications Engineering, Networks.Health Informatics.Computational Intelligence.621.382Zhu Dan855588Feng Dengguo997280Shen Xuemin (Sherman)720658MiAaPQMiAaPQMiAaPQBOOK9910917788503321Privacy-Preserving Techniques with e-Healthcare Applications4303710UNINA