Abstract: A method for processing medical examination data performed by a computing device, including determining a time interval that is last increased in a first repeating as an optimal time interval, configuring a feature matrix having a time axis according to the optimal time interval, and by using the feature matrix, setting a look-back window size to a predetermined initial size to obtain a performance evaluation result of the trained RNN-based model, second repeating increasing the look-back window size and then obtaining a second performance evaluation result of the RNN-based model trained according to the increased look-back window size until the second performance evaluation result is no longer improved, determining the look-back window size that is last increased in the second repeating as an optimal look-back window size and training the RNN-based model according to the optimal look-back window size by using the feature matrix having the optimal time interval.