The disclosure relates to a
medicine-taking aiding decision-making method and device and belongs to the technical field of
data processing. The method includes: clustering medical data according to patient basic information in medical data, determining the
main diagnosis of the patient in each period according to
discharge diagnosis in the medical data; determining effective
medicine-taking data corresponding to the
main diagnosis in each period according to
medicine-taking data in the medical data, and clustering the multiple pieces of effective medicine-taking data to generate effective medicine-taking data clusters based on the
main diagnosis; cleaning the effective medicine-taking data of the effective medicine-taking data clusters to determine a recommended medicine; acquiring the current main
patient diagnosis, and determining and feeding back, in recommended medicine, medicine-taking
data matching the current patient's main diagnosis. On the one hand, the method and device can accurately lock the main diagnosis, determine a corresponding relation between the diagnosed
disease and the medicine-taking data, and on the other hand, can improve the accuracy of the effective medicine-taking data, thereby improving the accuracy of the evaluation of the medicine-taking effect, and can help the doctor expand the medicine-taking scope.