Abstract: Provided is an information processing method capable of effectively using health record of each user including test results of various tests conducted at a medical institution or the like. A health record is stored in association with user identification information for each user in a database. If acquiring the user identification information read by a dispersed management system, a computer reads a health record corresponding to the acquired user identification information from the database. The computer outputs the read health record to the management system.

Abstract: Provided is a gate region estimation program and the like that estimate a gate region using a learning model. This gate region estimation program causes a computer to execute processing of: acquiring a group of scatter diagrams including a plurality of scatter diagrams each different in a measurement item that are obtained from measurements by flow cytometry; inputting the group of scatter diagrams acquired to a learning model trained based on teaching data including a group of scatter diagrams and a gate region; and outputting an estimated gate region obtained from the learning model.

Abstract: Provided is a program or the like capable of reducing a work burden of a medical service worker or the like, in a testing using a testing kit for detecting a specimen by using an immunochromatography method. A testing device acquires a shot image obtained by shooting a testing kit for testing a specimen by using an immunochromatography method. The testing device inputs the acquired shot image to a learned model for result discrimination that is deep-learned to output information relevant to a testing result of the testing kit in the shot image when the shot image of the testing kit is inputted. Then, the testing device determines the testing result of the testing kit in the acquired shot image, on the basis of the information outputted from the learned model for result discrimination and outputs the determined testing result.