Health Information System Pediatric
Pediatric health information system is widely used with different meanings and purposes. In our work, we have developed Pediatric health information system application specially targeted for diseases that occurs in babies. We will develop a classification model with the help of machine learning algorithms like random forest, KNN algorithm and CNN algorithm which will record the symptoms felt by person and according to that symptom it predicts the possibility of the diseases that the person is suffering. This application will be built upon popular framework Django from Python Programming Language. The database that will be used throughout the web application is Sqlite3. It saves time as well as makes it easy to get warning about your health before it’s too late. Pediatric health information system model will allow users(parents) to communicate with health care professionals, to access medical records, to research health information, and to engage in person-to person exchange of text. This will accelerate the much-needed transformation of our health care systems and sustain access, affordability and quality for all in the near future.
Keywords: Healthcare platform, python, Django, SQLite3, Disease prediction
Tools: Django (Backend), SQLite3 (Database), Django template with HTML, CSS, bootstrap and JavaScript (Front-end)
Department: Department of Computer Science
Project Team Members
| Name |
Email |
|
Muhammad Omair
|
Omair2019@namal.edu.pk |
|
Muhammad Kashif
|
Kashif2019@namal.edu.pk |
Project Poster
