Implant Size Estimation for HealthCare
goals
Predict the size of implant to be used during a patient’s total knee replacement surgery given that we know their demographic informations such as height, weight, age, gender, etc.
challenges
- Problem formulation
- Data Collection
- Model comparison
- Experimentation and code development due to limited access via AWS given the sensitive nature of the data as this was a project related to the health sector.
solution
Simple regression and classification models.
results
Successfully trained and deployed 8 models, 2 models each corresponding to Femur, Tibia, Tibial Insert and Patella (these are the bones that are replaced during knee surgery) Of the 2 models within each bone, one was used to predict the implant design and the other was used for size prediction.