The application relates to the technical field of medical transportation, in particular to a post-hospital non-emergency transportation platform recommendation method based on
artificial intelligence, which comprises the following steps: determining combination recommendation or direct recommendation according to the number of patients and a recommendation time length comparison value; in the combination recommendation, determining the illness change degree according to the examination parameter completeness, performing combination analysis based on the illness change degree and the
medical record text correlation degree to determine the associated combination, and determining the recommendation priority coefficient corresponding to each associated combination based on the evaluation mean value; in the direct recommendation, determining the recommendation priority coefficient corresponding to each patient according to the comprehensive evaluation value; determining to perform generation analysis according to the number of patients in a single recommendation, or generating feature keywords according to the feature keyword emergence proportion; and determining the recommended hospital corresponding to each patient or each associated combination according to the keyword matching degree and the diagnosis
waiting time length. The application can improve the accuracy of the recommended hospital.