Use of Predictive Analytics to Forecast Patient Recovery Through Chiropractic Care

This project will create an iPad application that will be able to gather data about a patient at a chiropractic clinic and predict their recovery based on various symptoms compared to similar cases. This will allow a chiropractor to better educate their patient about the benefits chiropractic care. It will also better engage the patient in their care by providing more analytical feedback, and allow them to see for themselves how they are progressing. It will also give patients realistic expectations about their recovery over time. The partner organization should be able to customize this software to fields other than chiropractic care. The organization has already had several inquiries about this project from other clinics and potential investors.

Faculty Supervisor:

Anthony Whitehead

Student:

Eric Torunski

Partner:

Perch Media

Discipline:

Computer science

Sector:

Life sciences

University:

Carleton University