• Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: Health
  • Keywords: Behavioral Analytics, Comparative Analysis, data mining, Machine Learning
  • Tools: AWS, GitHub, JavaScript, Machine Learning, Python, R, SQL, SQL Server, Tensorflow
  • Citizenship: Open to all students
Summary

Analysis of POC and other medical equipment data to build predictive models for device usage, patient behavior, and environmental factors.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Inogen' in the Note section, and select the appropriate CRN.