Multi-Source Medical Data Integration And Mining For Healthcare Services
Objective
In this project we put forward a novel multi-source medical data integration and mining solution for better healthcare services, named PDFM (Privacy-free Data Fusion and Mining). Through PDFM, we can search for similar medical records in a time-efficient and privacy-preserving manner, so as to offer patients with better medical and health services.
Abstract
In this project the advent of Internet of Health (IoH) age, traditional medical or healthy services are gradually migrating to the Web or Internet and have been producing a considerable amount of medical data associated with patients, doctors, medicine, medical infrastructure and so on. Effective fusion and analyses of these IoH data are of positive significances for the scientific disaster diagnosis and medical care services. However, IoH data are often distributed across different departments and contain partial user privacy.
Therefore, it is often a challenging task to effectively integrate or mine the sensitive IoH data, during which user privacy is not disclosed. To overcome the above difficulty, we put forward anapplicationmulti-source medical data integration and mining solution for better healthcare services, named PDFM (Privacy-free Data Fusion and Mining). Through PDFM, we can search for similar medical records in a time-efficient and privacy-preserving manner, so as to offer patients with better medical and health services.
Keywords: Service Recommendation, Internet Of Health (IoH), Locality-Sensitive Hashing, User Privacy, Data Integration.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
HARDWARE SPECIFICATIONS:
- Processor: I3/Intel
- Processor RAM: 4GB (min)
- Hard Disk: 128 GB
- Key Board: Standard Windows Keyboard
- Mouse: Two or Three Button Mouse
- Monitor: Any
SOFTWARE SPECIFICATIONS:
- Operating System: Windows 7+
- Server-side Script: Python 3.6+
- IDE: PyCharm
- Libraries Used: Pandas, Numpy, sklearn, OS, TensorFlow, Flask
Learning Outcomes
- Scope of Real Time Application Scenarios.
- How Internet Works.
- What is a search engine and how browser can work?
- What type of technology versions is used?
- Use of HTML and CSS on UI Designs.
- Data Base Connections.
- Data Parsing Front-End to Back-End.
- Need of Pycharm-IDE to develop a web application.
- Working Procedure.
- Testing Techniques.
- Error Correction mechanisms.
- How to run and deploy the applications.
- Introduction to basic technologies.
- How project works.
- Input and Output modules
- How to test the project based on user inputs and observe the output.
- MySQL insertion and MySQL database creation.
- Practical exposure to software tools and solution providing for real time problems working with team/ individual work on Creative ideas.
- How cloud computing works?
- Learn about types of algorithms and how to use?
- What is Cloud Storage?
- What is Public Auditing?
- How to Implement Secure Data Dynamics?
- Project Development Skills:
- Problem analyzing skills.
- Problem solving skills.
- Creativity and imaginary skills.
- Programming skills.
- Deployment.
- Testing skills.
- Debugging skills.
- Project presentation skills.
- Thesis writing skills.
Related Projects
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
