Objective: To use data mining methods to Professor Liu Xinxiang treatment of kidney disease drug strategy.Methods: A database in March 2006 5 -2009 Professor Liu Xinxiang treatment cured or improved cases of kidney disease, data mining correlation analysis to extract commonly used drugs, the core drug commonly used drugs paired. Results: The minimum conditions to support ≥ 10% minimum rule confidence ≥ 60% of the conditions under the rules of the frequency of the highest drug prepared rhizome of rehmannia、yam、cornus officinalis、rhubarb、cistanche deserticola、Ligustrum lucidum、yerbadetajo、astragalus、smilax glabra、Gordon Euryale、Angelica Sinensis、Salvia、barrenwort；Astragalus、lanceolata；Smilax Glabra、BAI HWA SHE SHE ZAO；Drug Pair have Astragalus、Gordon Euryale；Yam、prepared rhizome of rehmannia；Gordon Euryale、Angelica Sinensis；Gordon Euryale、Smilax Glabra；Astragalus、Smilax Glabra. support minimum conditions≥ 30%, the minimum rule confidence ≥ 60% of the conditions under the rules of the frequency of the highest drug：Yam、Astragalus、Gordon Euryale、Salvia、Angelica Sinensis、lanceolata、Smilax Glabra.Drug Pair have Yam、Gordon Euryale；Angelica Sinensis、Salvia；Astragalus、lanceolata；Astragalus、Gordon Euryale；Gordon Euryale、Angelica Sinensis；Astragalus、Angelica Sinensis；Gordon Euryale、Smilax Glabra；Astragalus、Yam；Astragalus、Smilax Glabra. Conclusion: Professor Liu Xinxiang commonly used drugs for shen an decoction, the core of medicine around the replenishing Qi, astringent, Dredging Collaterals, dissolving turbidity the law.