The invention discloses a method of recommending a personalized treatment scheme for a stroke patient. The method comprises the following steps: S1, preprocessing text information about physical examination and evaluation results in electronic medical records of patients; S2, expressing words, sentences and documents in the physical examination and evaluation results in the electronic medical records of the patients in a vector manner; S3, training a neural network model based on document vectors to obtain a personalized treatment scheme recommendation model; and S4, carrying out unified dataexpression, word segmentation and text filtering processing on the physical examination and evaluation results in an electronic medical record of a new patient, then carrying out document vector representation, and inputting represented document vectors into the personalized treatment scheme recommendation model to obtain a recommended personalized treatment scheme. According to the method, evaluation and physical examination information in the electronic medical record of the patient is taken as a document, the process of personalized treatment scheme recommendation is converted into a multi-label classification problem, the personalized treatment scheme can be recommended according to the physical examination results and the evaluation results of the patient, an auxiliary decision is provided for a doctor, and the burden of the doctor is reduced.