Description
This honors thesis explores using machine learning technology to assist a patient's return to activity following a significant injury, specifically an anterior cruciate ligament (ACL) tear. The goal of the project was to determine if a machine learning model trained with ACL reconstruction (ACLR) applicable injury data would be able to correctly predict which phase of return to sport a patient would be classified in when introduced to a new data set.
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Contributors
Bernstein, Daniel (Author) / Pizziconi, Vincent (Thesis director) / Glattke, Kaycee (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Permanent Link
Contributors
Bernstein, Daniel (Author) / Pizziconi, Vincent (Thesis director) / Glattke, Kaycee (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Details
Title
- The Utilization of Artificial Intelligence and Machine Learning Technologies to Improve Human Performance
Contributors
Agent
- Bernstein, Daniel (Author)
- Pizziconi, Vincent (Thesis director)
- Glattke, Kaycee (Committee member)
- Barrett, The Honors College (Contributor)
- Harrington Bioengineering Program (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2023-05
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