Skip to content

DT-Patient/PervasiveHealthcare

Repository files navigation

Pervasive Healthcare

Pervasive Healthcare is an exam project for PC and LSS courses in UNIBO.

This project aims to create a Digital Twin regarding the patient's figure in the healthcare sector. This system must allow the physical patient to always have their data and medical information up-to-date at their disposal. The system allows interaction by professional medical figures, such as general practitioners, medical specialists, nurses and rescuers in real time with the digital twin of the treated patient. In addition to access to all data by the physical patient, the digital patient must also provide a prediction system for future pathologies, in order to support doctors in better care for the patient.

The application has been designed with particular attention to the domain and the salient aspects of it. Domain Driven Design accompanied the entire life cycle of the application and with it the DevOps methodology was also applied, which, through the use of Build Automation and Continuous Integration, greatly facilitated the development process.

Software Info

GitHub last commit GitHub GitHub tag (latest by date) GitHub language count GitHub top language GitHub pull requests GitHub issues GitHub code size in bytes GitHub repo size GitHub contributors Release CI Website

Software Quality

CodeFactor Bugs Code Smells Lines of Code Duplicated Lines (%) Maintainability Rating Reliability Rating Security Rating Technical Debt Vulnerabilities CII Best Practices

Software Progress

GitHub issues GitHub closed issues GitHub pull requests GitHub closed pull requests GitHub commits since latest release (by date) GitHub last commit

Dependency

The project to be executed requires the following requirements:

  • Scala language. See how to install here
  • Spark. See how to install here

Code documentation

Documentation of the code is available here

Report for the LSS course

The project report for the LSS course is available here

Contributing

See the Contributing File.

License

See the License File.

Author and Copyright

Author:

Copyright (c) 2021.