System and method for predicting risk of diagnosis for autism spectrum disorder using neonatal analytics
AssigneeUniversity of Virginia Patent Foundation
InventorsKAREN D. FAIRCHILD, Douglas E. LAKE
Life of this patent
Estimating the term…
Abstract
Provided are a system and method for predicting risk of diagnosis for Autism Spectrum Disorder (ASD) using neonatal analytics. Such analytics assess heart rate pattern data for a given period of admission in a Neonatal Intensive Care Unit to determine correlation with heart rate characteristics indicative of ASD. Relative to a finding of one or more correlations, such analytics offer the opportunity for earliest screening and intervention for ASD, as appropriate.
Claims15
A system for predicting risk of diagnosis of Autism Spectrum Disorder (ASD) for an infant based on neonatal analytics sourced from one or more Neonatal Intensive Care Unit (NICU) records for said infant, comprising:
- a processor;
- a processor-readable memory including processor-executable instructions for:
- receiving and storing heart rate (HR) pattern data corresponding to said infant of a predetermined postmenstrual age (PMA) for a predetermined time period,
- evaluating one or more parameters derived from said HR pattern data to assess a behavior of said one or more parameters within said predetermined time period,
- determining whether the behavior of any of said one or more parameters increases or decreases in magnitude relative to a datum, and
- in response to a determination of increasing behavior, determining that said risk is positive.
A processor-implemented method for predicting risk of diagnosis of Autism Spectrum Disorder (ASD) for an infant based on neonatal analytics sourced from one or more Neonatal Intensive Care Unit (NICU) records for said infant, comprising:
- receiving and storing in a memory heart rate (HR) pattern data corresponding to said infant of a predetermined postmenstrual age (PMA) for a predetermined time period,
- evaluating one or more parameters derived from said HR pattern data to assess a behavior of said one or more parameters within said predetermined time period,
- determining whether the behavior of any of said one or more parameters increases or decreases in magnitude relative to a datum, and
- in response to a determination of increasing behavior, determining that said risk is positive.
A non-transient computer-readable medium having stored thereon computer-readable instructions for predicting risk of diagnosis of Autism Spectrum Disorder (ASD) for an infant based on neonatal analytics sourced from one or more Neonatal Intensive Care Unit (NICU) records for said infant, said instructions comprising instructions causing a computer to:
- receive and store in a memory heart rate (HR) pattern data corresponding to said infant of a predetermined postmenstrual age (PMA) for a predetermined time period,
- evaluate one or more parameters derived from said HR pattern data to assess a behavior of said one or more parameters within said predetermined time period,
- determine whether the behavior of any of said one or more parameters increases or decreases in magnitude relative to a datum, and
- in response to a determination of increasing behavior, determine that said risk is positive.
Dependencies are inferred from the claim text.