Provided are a method, apparatus, and computer device for determining a patient treatment plan, which can solve the problem of an insufficiently accurate generated result when generating a patient treatment plan online. The method comprises: on the basis of deep Q-learning (DQN), creating a patient grouping model used for processing a time series data (101); using sample data marked with the grouping result to train a patient grouping model so as to cause the patient grouping model to satisfy a preset training standard (102); inputting target patient data within a preset time period into the patient grouping model which satisfies the preset training standard to obtain a target group to which the target patient belongs (103); determining a first treatment plan of the target patient on the basis of the features of the population in the target group (104); extracting contraindicated drugs of the target patient according to the target patient data, and from the first treatment plan, filtering out a second treatment plan containing the contraindicated drugs (105); according to the first treatment plan and the second treatment plan, analyzing and obtaining a target treatment plan for the target patient (106).
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