Concept

Explanation of Example Data

Patient 001:

    • Age: 55
    • PSA Level: 4.5 ng/ml (High)
    • Free PSA Percentage: 22%
    • PCA3 Score: 35 (High)
    • TMPRSS2-ERG Score: 50 (High)
    • SPDEF Score: 45 (High)
    • Diagnosis: Prostate Cancer

Patient 002:

    • Age: 60
    • PSA Level: 2.8 ng/ml (Normal)
    • Free PSA Percentage: 28%
    • PCA3 Score: 20
    • TMPRSS2-ERG Score: 30
    • SPDEF Score: 25
    • Diagnosis: Potential Cancer

Patient 003:

    • Age: 50
    • PSA Level: 1.5 ng/ml (Normal)
    • Free PSA Percentage: 30%
    • PCA3 Score: 15
    • TMPRSS2-ERG Score: 20
    • SPDEF Score: 20
    • Diagnosis: No Cancer

Integrating the Example Data

To test the form and prediction logic with the example data, you can manually input these values into the form. This will help verify if the prediction algorithm is working correctly based on the provided data.








the above is a demo for concept and development