Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/568522
Title: | Cognitive blockchain technology for predictive healthcare management system |
Researcher: | Naga priyadarsini, R |
Guide(s): | Ponsy rk sathia bhama |
Keywords: | Cognitive blockchain Computer Science Computer Science Information Systems Engineering and Technology management system predictive healthcare |
University: | Anna University |
Completed Date: | 2024 |
Abstract: | The healthcare industry has witnessed significant advancements in newlinerecent years, driven by the integration of emerging technologies. Healthcare newlinedata has been stored and controlled by centralized systems, such as Electronic newlineHealth Record (EHR) systems managed by healthcare providers. Particularly, newlinemedical imaging plays a crucial role in modern healthcare, enabling accurate newlinediagnoses and guiding treatment decisions. With the advent of digital imaging newlinetechnologies, the transmission of medical images has become essential for newlinesharing diagnostic information among healthcare professionals. The newlinedigitalization of medical images has revolutionized the way healthcare newlineproviders store, access and transmit diagnostic information. These digital newlineimages can be easily shared, providing timely access to specialists and newlineenabling remote consultations. It allows doctors and other medical newlineprofessionals to provide care to patients who are unable to visit a physical newlinemedical facility, such as those in rural or remote areas, or during a pandemic newlineor other public health emergency. These images consist of sensitive newlineinformation which is used for the pre-diagnosis of diseases and proper newlinetreatment. However, this approach limits patients control over their health newlineinformation and raises concerns about data privacy and security. newlineThis stimulates the development of decentralized healthcare data newlinethat puts patients at the center, giving them more control and ownership over newlinetheir health records. Also, to develop predictive analytics algorithms that can newlineanalyze decentralized data, empowering healthcare providers to make newlineproactive decisions and prevent adverse events. The main aim is to develop newlinecognitive blockchain technology in predictive healthcare management. newlineCognitive blockchain technology leverages the power of artificial intelligence newline(AI) and blockchain to enable predictive healthcare models newline |
Pagination: | xx,145p. |
URI: | http://hdl.handle.net/10603/568522 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 26.41 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 588.89 kB | Adobe PDF | View/Open | |
03_content.pdf | 179.96 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 81.14 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 506.48 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 393.36 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 480.04 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 550.48 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.18 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 110.66 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 114.39 kB | Adobe PDF | View/Open |
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