Abstract: Provided are a leave of absence prediction system and the like capable of predicting whether an employees, etc. will take a leave of absence in a predetermined time.

Abstract: The health condition prediction apparatus 10 includes an estimation model learning unit 11 for learning a model indicating a relationship between lifestyle and a check value for a preset check item, using actual data regarding individuals' lifestyle and the check value as training data, a check value prediction unit 12 for acquiring actual data regarding lifestyle of a user and predicting a future check value of the user by using the acquired actual data and the model, and a display unit 13 for displaying, on a screen, the future check value predicted by the check value prediction unit 12.

Abstract: A data analysis device includes: a data acquiring unit that acquires a designation of a target field being a field from which relevance is to be extracted, from among fields included in health condition data being information relating to a health condition of an employee, and the health condition data of two or more employees and attendance data being information relating to a work condition; an attribute data generating unit that performs aggregation, and generates attribute data; a model learning unit that learns a model, the model being represented by a polynomial, by using a content of the target field of the health condition data, and a content of the attribute data, of the two or more employees; a related field extracting unit that extracts an attribute field; and a summarizing unit that summarizes and outputs attendance data, based on information on the extracted attribute field.

Abstract: Provided are a leave of absence prediction system and the like capable of predicting whether an employees, etc. will take a leave of absence in a predetermined time.