Patent · US Active

Prediction model preparation and use for socioeconomic data and missing value prediction

US11972443B2 · kind B2 · utility

0Cited by
2References
20Claims
0Family size

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Key dates

Filing dateDec 24, 2018
Grant dateApr 30, 2024
Priority date
Expiry dateJan 11, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG16H10/60
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

The present disclosure pertains to a system configured to prepare and use prediction models for socioeconomic data and missing value prediction. Some embodiments may: extract, from received population segment data, a training set of socioeconomic parameter values for each population segment; provide, to a prediction model as input, first parameter values of the respective training set for the prediction of additional parameter values of the training set such that the prediction of the additional parameter values is performed without reliance on the additional parameter values; provide, for each of the training sets, the additional parameter values to the prediction model as reference feedback for the prediction model's prediction of the additional parameter values to train the prediction model; and predict, based on a working set of parameter values for a population segment, additional values for the working set using the prediction model subsequent to its training.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.