Abstract: The present invention provides a weight-prediction method comprising the following steps: providing the first-period data and the second-period data of basic users and proving users, respectively; using an Artificial Neural Network method to analyze the first-period data and second-period data of basic users to calculate a basic parameter; analyzing the first period data of proving users by using a Fuzzy Inference system based on the basic parameter and then calculate a predictive data; comparing the predictive data with the second-period data of proving users and determining if the predictive data is in an acceptable range. If the predictive data is certainty in the acceptable range, the basic parameter is defined as a predictive parameter.

Abstract: A predictor of the period of psychotic episode in individual schizophrenia patients, and its method. It consists of, a data constructor and an incident simulator, which concludes rules from the total incidents of patients' recurrence as well as the historical time data. Then it applies the said rules to predict the following happening time of a recurrence or a stabled situation.