STATISTICAL DEPENDENCE-AWARE BIOLOGICAL PREDICTIVE SYSTEM

A computer implemented method includes accessing a multivariate time series set of samples collected by multiple biological sensors sensing a first biological function over a first period of time, dividing the data set into windows, calculating statistical dependencies between the samples of the tim...

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Bibliographic Details
Main Authors HELM, Hayden Sullivan, LYTVYNETS, Kateryna, YANG, Weiwei, CHEN, Guodong
Format Patent
LanguageEnglish
French
German
Published 23.10.2024
Subjects
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:A computer implemented method includes accessing a multivariate time series set of samples collected by multiple biological sensors sensing a first biological function over a first period of time, dividing the data set into windows, calculating statistical dependencies between the samples of the timeseries data collected by each sensor, generating a relationship matrix as a function of the statistical dependencies, and transforming the relationship matrix to generate a first feature vector for each window of time that captures the statistical dependencies amongst the sensors.
Bibliography:Application Number: EP20220851073