Prediction Type: Two predictions are shown, non-recurrence and alive. Non-recurrence is the chance that you will not have a detectable cancer for the first 15 years after treatment. Alive is the chance that you will not die from your cancer for the first fifteen years after treatment. The predictions for years 9 through 15 are extrapolations based on years 1 through 8.

Factors:  These are your prognostic factors.  They provide the information about your cancer that was used to make your non-recurrence and alive predictions.
Race: Your ethnicity may affect your prognosis. Please enter either black, white or other.
Age: Your age in years at the time of  your treatment.
Histologic Grade:  the grade of the tumor, either 1, 2, 3 or 4.
Tumor extension: How far your tumor has progressed, either T1, T2, T3 or T4.
Lymph Nodes Positive:  If you had any lymph nodes that were found to be positive, put in the number found to be positive.
Tumor Location: Location of the tumor in the colon, ascending and cecum, transverse and both flexures, descending, or sigmoid.

Missing Data:  The more data that is missing, the more difficult it will be to provide accurate predictions.

Prediction Method:  An advanced statistical method called artificial neural network regression (ANN) was used to make your predictions.  Your factors were entered into the artificial neural network model.  The model used this information to predict your chance of being alive over the next fifteen years.

Reference:  Burke HB, Goodman, PH, Rose, DB, Henson DE, Weinstein JN, Harrell Jr. FE, Marks JR, Winchester DP, Bostwick DG.  Artificial neural networks improve the accuracy of cancer survival prediction. Cancer 1997; 79: 857-62.

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