Patent · US Active

Methods and systems for predicting a health condition of a human subject

US10448898B2 · kind B2 · utility

1Cited by
1References
18Claims
0Family size

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Key dates

Filing dateJul 14, 2015
Grant dateOct 22, 2019
Priority date
Expiry dateFeb 7, 2038

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG16H50/30
  • WIPO fieldMedical technology
  • WIPO sectorInstruments

Abstract

Disclosed are embodiments of methods and systems for predicting a health condition of a first human subject. The method comprises extracting a historical data including physiological parameters of second human subjects. Thereafter, a first distribution of a first physiological parameter is determined based on a marginal cumulative distribution of a rank transformed historical data. Further, a second distribution of a second physiological parameter is determined based on the first distribution and a first conditional cumulative distribution of the rank transformed historical data. Further, a latent variable is determined based on the first and the second distributions. Thereafter, one or more parameters of at least one bivariate distribution, corresponding to a D-vine copula, are estimated based on the latent variable. Further, a classifier is trained based on the D-vine copula. The classifier is utilizable to predict the health condition of the first human subject based on his/her physiological parameters.

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