The invention discloses a repeated
implantation failure analysis method based on a multi-
modal data fusion model, and the method comprises the steps: collecting basic information of a patient,
medical history, laboratory and iconography examination,
embryo transplantation and other multi-
modal data, integrating dispersed information, providing a comprehensive data basis for analysis, breaking an information island, and enabling the analysis to be based on a complete image; meanwhile, a neural
network model is trained according to the preprocessed data to obtain a multi-
modal data fusion model, potential correlation among factors can be mined, internal relations can be accurately reflected through fusion features,
complex disease causes can be comprehensively revealed, and the limitation that only one aspect can be concerned in the prior art is overcome; besides, a prediction method based on the multi-
modal data fusion model is more accurate and reliable than traditional experience judgment and single index analysis, targeted suggestions can be given according to prediction, personalized guidance is provided for clinicians, formulation of precise strategies is assisted, and the defects of precise prediction and personalized suggestions in the prior art are overcome.