Grant-in-Aid for Young Scientists (B)
The purpose of this research is construction of the condition transition forecasting model that uses the large-scale medical information data. The latent curve model to be predictable of transition of the inspection value in each patient was constructed by using the inspection value time series data in the medical information data base at Kochi University hospital. In the latent curve model, it is possible to analyze it while evaluating individual data in the background of distribution that the group follows it. The potential curve model was examined as a model by whom the individual patient data was able to be forecast. The range of the adjustment of the model was clarified by using the ideal simulated data that had been obtained by the numerical simulation.
Attribution of KAKENHI