Hematological diseases seriously threaten the physical and mental health of patients due to their high-risk and low cure rates.Traditional Chinese Medicine(TCM) has obvious advantages in treating hematological diseases.Famous TCM practitioners have extensive experience in the differentiation and treatment of such diseases，and significant clinical efficacy has been observed.However，since TCM diagnosis and treatment relies mostly on individual subjective thinking，it cannot provide comprehensive guidance in clinical practice.Therefore，using data mining techniques to objectively summarize the clinical experiences，patterns of differentiation，and prescriptions of TCM practitioners would be advantageous in the development of standardized laws of principle-method-recipe-medicines and applications patterns.This approach would contribute to the inheritance and innovation of TCM through a scientific and efficient methodology.