SYSTEM AND METHOD FOR ESTIMATION OF MISSING DATA IN A MULTIVARIATE LONGITUDINAL SETUP

• Main Authors: KOHLI, Priya, SRINIVASAN, Soundararajan
• Format: Patent
• Language: English; French; German
• Published: 04.09.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A method for estimating values of missing data in partial sets of medical data includes generating a Gaussian mixture with a time-varying mean and time and lag varying covariances. The method generates the estimate for a missing datum with the Gaussian distribution having a selected mean and covariance corresponding to the time of the missing datum. An estimate of the missing datum is generated with reference to the mean of the Gaussian distribution conditioned on other medical data that are observed at the time of the missing datum.