The invention discloses an 
electronic medical record text structuring method. The method comprises the following steps that 1, a 
medical knowledge database is loaded; 2, an 
electronic medical record text is read; 3, word segmentation is carried out on short sentences through a forwards maximum 
match algorithm, and words in sentences, word properties and relative position relations are obtained; 4, whether the 
semantics in the sentences for 
disease information description is positive or negative is judged; 5, 
disease information elements are extracted; 6, the steps 2-5 are repeated till all interesting contents in the 
electronic medical record are obtained; 7, different expressions of the 
disease information elements are combined, the same disease information is combined according to a medical 
synonym bank, and redundant information is removed; 8, 
disease description information elements are stored in a structure / class mode, the structuring process is finished, disease 
relevant information can be effectively extracted from 
medical record description text, structural expression for disease information is formed, and therefore 
disease occurrence regularity, definite diagnosis ways, treatment effects and the like are deeply explored.