公开(公告)号：US20220068445A1

公开(公告)日：2022-03-03

申请号：US17408769

申请日：2021-08-23

Applicant: NEC Laboratories America, Inc.

Inventor： Jingchao Ni ,  Bo Zong ,  Wei Cheng ,  Haifeng Chen ,  Yinjun Wu

IPC: G16H10/60 ,  G06N20/00 ,  G06N5/04 ,  G16H50/30

Abstract: A method for managing data of dialysis patients by employing a Deep Dynamic Gaussian Mixture (DDGM) model to forecast medical time series data is presented. The method includes filling missing values in an input multivariate time series by model parameters, via a pre-imputation component, by using a temporal intensity function based on Gaussian kernels and multi-dimensional correlation based on correlation parameters to be learned and storing, via a forecasting component, parameters that represent cluster centroids used by the DDGM to cluster time series for capturing correlations between different time series samples.