Degenerative Cervical Myelopathy Phenotype Assignment Tool

Enter Age and SF-12 PCS & MCS below to predict a patient’s recovery cluster using a CART decision tree. The highlighted path shows how the model arrived at the result.

Tip: You can screenshot or print the result for your records. Do not enter names, MRNs, or other identifiers.

How it works

Enter inputs → CART tree runs → cluster + path is shown


What you’ll see: A predicted cluster (Mild / Severe / Older / Younger) plus the highlighted decision path through the tree.

Why the highlighted path matters: It makes the model interpretable, as every split is visible.

Disclaimer: This tool is for research/decision support and does not replace clinical judgment.

CART Patient Classifier

Enter values and click Predict to highlight the decision path on the tree below.

Privacy: Runs entirely in your browser. Do not enter names, MRNs, or direct identifiers.

Decision Tree

CLASS BASELINE OUTCOME 1 – Mild Disease Mild disease Lowest recovery 2 – Younger Age Moderate disease Strongest recovery 3 – Older Age Moderate disease Poor recovery 4 – Severe Disease Severe disease Strong recovery YES NO YES NO YES NO YES NO YES NO YES NO YES NO MCS <= 42.25 Age <= 54 PCS <= 36.975 PCS <= 44.37 PCS <= 40.925 Age <= 53 Age <= 69 Class 2: Younger Patients, Strongest Recovery (11.7% of ptx) Class 1: Mild Disease, Lowest Recovery (2.3% of ptx) Class 4: Severe Disease, Strong Recovery (24.3% of ptx) Class 1: Mild Disease, Lowest Recovery (3.9% of ptx) Class 2: Younger Patients, Strongest Recovery (7.8% of ptx) Class 3: Oldest Patients, Poor Recovery (25.7% of ptx) Class 1: Mild Disease, Lowest Recovery (19.3% of ptx) Class 3: Oldest Patients, Poor Recovery (5.0% of ptx)

Privacy

Privacy note: this page runs the CART decision tree directly in your browser and does not intentionally store the inputs you enter. Do not enter names, MRNs, or other direct identifiers. If you refresh the page, your result will be cleared.


Troubleshooting
I clicked Predict but nothing happened.

Please ensure all three fields (Age, SF-12 PCS, and SF-12 MCS) are completed with numeric values. If a value is missing or outside the expected range, an error message will appear above the form. If nothing changes after clicking Predict, refresh the page and try again.

The highlighted path didn’t update.

Click Reset, re-enter the values, and click Predict again. If the page appears unresponsive, refresh your browser and repeat the process.

What does the highlighted decision path mean?

The highlighted boxes show the exact sequence of decision rules applied to your inputs. Each highlighted step represents a threshold in the decision tree that led to the final predicted cluster.

Is my information stored?

This calculator runs directly in your browser and does not intentionally store or transmit the values entered. For privacy reasons, please do not enter names, MRNs, or other identifying information.

Can this tool replace clinical judgment?

No. This tool is intended for research and decision-support purposes only. It does not replace individualized patient assessment, professional medical advice, or clinical judgment.