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 guid-ance in clinical practice.Therefore,using data mining techniques to objectively summarize the clinical experiences,patterns of dif-ferentiation,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.
关键词
数据挖掘/血液病/白血病/再生障碍性贫血/免疫性血小板减少性紫癜/淋巴瘤/中医诊疗/文献综述
Key words
Data Mining/Hematological Diseases/Leukemia/Aplastic Anemia/Immune Thrombocytopenia/Lymphoma/Tradi-tional Chinese Medicine Diagnosis and Treatment/Literature Review
维普
万方数据