A health condition determination method including: acquiring a boundary range including one or more boundary values and a width in examination data, the examination data corresponding to an examination item in which a normal range and an abnormal range are set identifying a plurality of determination candidate models each including a pattern for setting the normal range and the abnormal range for the examination item calculating an accuracy corresponding to each of the plurality of determination candidate models based on model construction data corresponding to a disease related to the examination item and determining, from the plurality of determination candidate models, a determination model that outputs whether determination data with respect to the examination item is normal or not based on the calculated accuracy.
