期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：5
页码：683-696
DOI：10.9756/INTJECSE/V14I5.67
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：As the Internet of Health (IoH) era dawns, conventional medical or healthcare resources are gradually migrating to the web or the internet, resulting in a massive influx of medical data relating to patients, physicians, pharmaceuticals, medical infrastructure, and so on. This IoH data's good integration and analysis are ideal indicators for disaster diagnosis and medical care services. However, IoH is frequently divided into other departments and protects the users' privacy. As a result, compiling or extracting critical IoH data, where user privacy may be compromised, is frequently a difficult operation. To address the aforementioned challenges, we focus on PDFM, a multi-source medical data collecting and mining solution for improved health care services (Data Fusion and Private Mining). We can search for similar medical data in a time-saving and private manner with PDFM, allowing us to deliver better medical and healthcare services to patients. To show the viability of a plan for this work, a test team is formed and employed.
