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Hack-A-Roo (Hackathon event) at UMKC (Fall 2018)
Application name - Presco. An application to understand, analyse and predict prescription drug usage of medic-aid population, which will enable the local government and health plans to reduce spend
Members:
- Sneha Mishra
- Harshini Medikonda
- Kaza, Vidyullatha Lakshmi
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Platform used - Unix
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Frontend - HTML, js, css
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Backend - JAVA, unix and shell scripting
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Technologies & Tools - REST APIs, CURL, Tableau, Microsoft Excel, Intellij
Architecture for the the Automation, including fetching the datasets automatically to generate the different JSON responses for the different analysis categories.
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To understand and predict prescription drug usage of medic-aid population, which will enable the local government and health plans to reduce spend.
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Prediction of drug usage for 2019.
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Analysis of the provided datasets.
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Integration of different web technologies to create a website for the information.
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Implementation of different predictive models.
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Visualization of data.
Application Demo can be found here
PPT for the project, explaining the features and architecture can be found here
The code (JAVA, curl, unix) for the project can be found here
JAVA code snippet:
Shell Script code snippet:
Home Page:
Analysis Pages:
Prediction Page:
Take Back Meds Page:
About Page:
