PROBLEM TO BE SOLVED: To provide a method for highly accurately predicting an occurrence time of an event, such as development of a specific disease, death, or the like, by using a huge volume of analysis results of clinical tests.SOLUTION: The event occurrence time prediction device comprises: input means to which one or a plurality of types of first analysis results obtained from a first analysis object are input; and processing means that executes a step of calculating a score indicating a possibility of occurrence of an event in the first analysis object within a predetermined period from acquisition of the first analysis results, on the basis of the first analysis results input in the input means. The score is obtained through machine learning that uses one or a plurality of types of second analysis results obtained from a second analysis object for which occurrence of an event is known, before the occurrence of the event, and a lapse time from acquisition of the second analysis results to occurrence of the event in the second analysis object, and uses, as teacher data, whether or not the time of the acquisition of the second analysis results and the time of the occurrence of the event exist in the predetermined period.SELECTED DRAWING: None
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