Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Research on core and effective formulae (CEF) does not only summarize traditional Chinese medicine (TCM) treatment experience, it also helps to reveal the underlying knowledge in the formulation of a TCM prescription. , CEF discovery from tumor clinical data is discussed. The concepts of confidence, support, and effectiveness of the CEF are defined. Genetic algorithm (GA) is applied to find the CEF from a lung cancer dataset with 595 records from 161 patients. The results had 9 CEF with positive fitness values with 15 distinct herbs. The CEF have all had relative high average confidence and support. A herb-herb network was constructed and it shows that all the herbs in CEF are core herbs. The dataset was divided into CEF group and non-CEF group. The effective proportions of former group are significantly greater than those of latter group. A Synergy index (SI) was defined to evaluate the interaction beten two herbs. There re 4 pairs of herbs with high SI values to indicate the synergy beten the herbs. All the results agreed with the TCM theory, which demonstrates the feasibility of our approach.
['Ming Yang', 'Josiah Poon', 'Shaomo Wang', 'Lijing Jiao', 'Simon K. Poon', 'Lizhi Cui', 'Peiqi Chen', 'Daniel Man-yuen Sze', 'Ling Xu']
I am writing a research paper on a idea Application of Genetic Algorithm for Discovery of Core Effective Formulae in TCM Clinical Data
[{"from": "human", "value": "I am writing a research paper on a idea Application of Genetic Algorithm for Discovery of Core Effective Formulae in TCM Clinical Data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Research on core and effective formulae (CEF) does not only summarize traditional Chinese medicine (TCM) treatment experience, it also helps to reveal the underlying knowledge in the formulation of a TCM prescription. , CEF discovery from tumor clinical data is discussed. The concepts of confidence, support, and effectiveness of the CEF are defined. Genetic algorithm (GA) is applied to find the CEF from a lung cancer dataset with 595 records from 161 patients. The results had 9 CEF with positive fitness values with 15 distinct herbs. The CEF have all had relative high average confidence and support. A herb-herb network was constructed and it shows that all the herbs in CEF are core herbs. The dataset was divided into CEF group and non-CEF group. The effective proportions of former group are significantly greater than those of latter group. A Synergy index (SI) was defined to evaluate the interaction beten two herbs. There re 4 pairs of herbs with high SI values to indicate the synergy beten the herbs. All the results agreed with the TCM theory, which demonstrates the feasibility of our approach."}]