symptom-tree
- This function reads and processes the data file, then initializes the SymptomTree class using this processed data. This class contains attributes for the DecisionTreeClassifier model (model), the cleaned NAMCS dataset (data), a dictionary mapping diagnoses to unique identifier codes (diagnosis dict), a dictionary mapping unique codes to diagnosis strings (rev_diagnosis_dict), the x training dataset (x_train), the y training dataset (y_train), the x testing dataset (x_test), the y testing dataset (y_test), predicted diagnoses (y_hat), and a lookup attribute.