{"product_id":"privacy-preserving-techniques-with-e-healthcare-applications-9783031769214","title":"Privacy-Preserving Techniques with E-Healthcare Applications","description":"\u003cp\u003e • Author(s): Dan Zhu\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Telecommunications\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eStudies the issues and challenges of privacy-preserving techniques applied in e-Healthcare services;\u003c\/li\u003e \u003cli\u003eFocuses on common and distinctive medical data, investigating accurate e-Healthcare services with privacy preservation;\u003c\/li\u003e \u003cli\u003eProposes solutions with proof-of-concept prototypes, tested on real and simulated datasets.\u003c\/li\u003e \u003c\/ul\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45276048228503,"sku":"9783031769214","price":9447.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783031769214.webp?v=1769284573","url":"https:\/\/atlanticbooks.com\/products\/privacy-preserving-techniques-with-e-healthcare-applications-9783031769214","provider":"Atlantic Books","version":"1.0","type":"link"}