ABSTRACT
This paper was aimed to summarize professor Huang Chunlin’s medication experiences, rules and prescription characteristics in the treatment of chronic nephritis through data mining on patients’ records of chronic nephritis. The records of 92 outpatients which met the criteria were collected. The total treatment number was 276. Text conversion was made on patients’ records. And the archive of patients’ data was established. With the support of Traditional Chinese Medicine Inheritance Support System, the medication experiences and prescription rules of professor Huang were summarized. The results showed that the top 20 herbs with relatively high using frequencies were mostly sweet in flavor and neutral in nature. The meridian distributions were mostly the kidney, spleen and liver meridian. The medication effects were mainly qi-reinforcing, yang-reinforcing, water-clearing and dampness-removing. Results from data mining showed 5 couplet medicines and 8 new prescriptions in chronic nephritis treatment. It was concluded that in Professor Huang’s syndrome differentiation of chronic nephritis, it was related to the spleen and kidney, and also related to dampness and stasis. The characteristics in medication were “high-dose for severe conditions”, “sweet in flavor and neutral in nature with outstanding effects”, “always related to the spleen and kidney”, “always related to dampness and stasis”.
ABSTRACT
This paper summarized Professor Huang Chunlin's traditional Chinese medicine (TCM) medication expe-riences for patients with hypoalbuminemia in refractory nephrotic syndrome (RNS). This paper was divided into three parts. The first part was the overview of hypoalbuminemia in RNS. The second part was the TCM medica-tion experiences for patients with hypoalbuminemia in RNS which included the integrated application of tonifying the spleen, nourishing the liver and reinforcing the kidney. The third part was the explanation of the comprehen-sive application of Professor Huang Chunlin's TCM medication experiences for patients with hypoalbuminemia in RNS through the introduction of a typical case. TCM medication experiences for RNS treatment based on experi-ences of famous TCM doctors provided theoretical and practical basis for therapeutic regimen.
ABSTRACT
IgA nephropathy is the most common primary glomerular disease in China without any specific treat-ment. Corresponding treatments are usually adopted according to different clinical types. Referred to the clinical classification principles and the experiences of his own, Professor Huang Chunlin presented traditional Chinese medicine (TCM) medication experiences for different clinical types of IgA nephropathy which had some clinical instructive significance .
ABSTRACT
This study was aimed to analyze the formulas and classify the treatment of chronic kidney disease (CKD) by Dr. Huang Chunlin based on the data mining method. A total of 63 CKD outpatients' medical records by Dr. Huang were collected. And 226 formulas prescribed in the medical records were put in the Traditional Chinese Medicine Inheritance Support System (TCMISS). Data mining techniques were applied in the study of as-sociation rule mining algorithm and complex system entropy cluster, the usage frequency and the correlation of each single Chinese medicinal in order to sort out the prescription pattern of CKD. The results showed that to for-tify the spleen and tonify the kidney were found to be the basic method of CKD treatment . Through the applica-tion of TCMISS, the Chinese medicinals used in Dr. Huang's CKD treatment were Astragalus root, Eucommia, Epimedium, Cuscuta, Agastache, Danshen Root, Ligustrum. It was concluded that the TCMISS is of great value in the summarization of clinical experiences of well-known TCM doctors.
ABSTRACT
This study was aimed to analyze the medication and herbal prescription rules in the treatment of nephrotic syndrome (NS) by Prof. Huang Chunlin with Traditional Chinese Medicine Inheritance Support System ( TCMISS ) . Prescriptions used for NS treatment were collected and the data was entered into the TCMISS . The commonly used herbs and herbal prescription rules in NS treatment by Prof. Huang were summarized through the association rules, revised mutual information, complex system entropy cluster and other unsupervised hierarchical clustering methods. The results showed that based on the analysis of 280 prescriptions from 68 patients, the fre-quency of each herb and association rules among herbs included in the database were identified. And the basic NS treatment prescription by Prof. Huang Chunlin and 8 new prescriptions were mined from the database. It was concluded that data mining is of great practical value to the summarization of clinical experiences of well-known TCM doctors.