Flexion Gap Prediction with Machine Learning

Prealign: Varus Valgus Gender: Female Male Laxity: Varus 1+ Laxity Varus 2+ Laxity Valgus 1+ Laxity Valgus 2+ Laxity No Laxity Hyperextension

Insert (mm): 9 11 13 15 17 Ext Rotation (degrees): 2 3 4 5 6 Shift (mm): -2 -1 0 1 2

DFR (mm): 8 9 10 11 12 Preop Ext (degrees): 0 5 10 15 20 Tibia Bone Removal (mm): 4 6 8 9 10 11 12 13

Femur Bone Removal (mm): Preop Flexion: Age:

Height (inches): Weight (lbs): HCCR: No Yes

Tibial Slope: 0 3 5 7 PCL Release: ITB Closure/Patch:

Predict (Rule-Based) Predict (ML Model) Train Model with Synthetic Data Train Model with Cross-Validation Save Model Load Model Print Take Screenshot Train vs Test Epoch Plot

Results

Rule-Based Prediction: N/A

Flexion Gap: N/A mm

Extension Gap: N/A mm

ML Prediction: N/A

Flexion Gap: N/A mm

Extension Gap: N/A mm

F1 Score: N/A

Prediction Chart

Cross-Validation Metrics

Train vs Test Epoch Plot

Flexion Gap Prediction with Machine Learning

Train and Plot Epochs (Neural Network)

Train and Plot Epochs (Neural Network)

Model Results

Neural Network Training Result:

SVM Training Result:

Random Forest Training Result:

Train and Plot (SVM) Train and Plot (Random Forest)

Console Output: