Full
Outline
To solve the problems of complicated rules of measurement of Chinese medicines in ancient books，inconvenience in finding formulaeand lack of modern intelligent applications for ancient books.
It summarized the measurement conversion standards and special meter measurement conversion standards in the past dynasties，proposed a similarity calculation method for medical cases based on the fusion of the features of＂mainevidence+formulaname+composition of traditional Chinese medicine＂，and adopted Enhanced Representation from Knowledge IntEgration（ERNIE）model based on deep learning for model training.Itdesigned and developed an intelligent ancient formula recommendation and measurement conversion system based on deep learning recommender engine，using MySQL database and Django framework.Using MySQL database and Django framework，it designed and developed an intelligent ancient prescription recommendation and measurement conversion system based on deep learning recommendation engine.
The overall recommendation accuracy rate obtained by this method reached 89.55%，the precision rate was 94.51%，and the recall rate was 83.97%，which achieved better results，and the system was able to achieve the intelligent retrieval of formulae and the conversion of Chinese medicine measurement units，recommend a series of ancient formulae with a high degree of matching of the main treatment efficacy according to the symptoms inputted by the user，and display the composition of formulas and the Chinese medicine dosage in accordance with the conversion rules of different dynasties.It also displayed the composition of the formula and the dosage ofChinese medicine according to the conversion rules of different dynasties，which conformed to the modern standard measurement.
The method of intelligent recommendation of prescriptions and conversion of Chinese medicine measurements achieves satisfactory results，provides a new way of thinking for the intelligent recommendation of ancient prescriptions，and has certain reference significance for the standardisation of Chinese medicine dosage and the reference significance for the clinical use of medicines.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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