Overview:
The project Idea is to use machine learning algorithms to learn the prescription patterns for a health Condition and then use the results to help the doctors by giving the suggestion for the prescription.
Main Features:
- Given the database for patient treatment use the data mining technique to learn the prescription pattern for diagnosis.
- Make a service that can use the results from above feature and suggest the prescription for a diagnosis.
A general architecture to use any database by the service.
- A general architecture of the project to add further new machine learning module to expand the domain of search and results.
Learning Algorithm:
Association Rule Mining will be used as the machine learning Algorithm for the 1st chunk. This is a Research Paper which use Association Rule mining to find relationships between procedures performed on patients and reported diagnosis. In the 1st chunk of this project, we are planing to find the relationships between the health condition of patient and prescriptions they have been provided.
Implementation details:
Requirements-
Machine learning library - Weka (Language : java).
- Server - Tomcat(java).
- JDBC driver to access the database.
Modules-
Pre-Processing for database.
- Learning Module for Association Rule Mining on Prescriptions.
- Prediction module for Association Rule Mining on Prescriptions.
- Rest API for querying.
Architecture:
This is the Architecture of the project that I'm about to implement.
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Mentors:
- Surajit Nundy
- Piyush Madan.