Cardiorespiratory Signature Of Neonatal Sepsis Springer Nature podcast

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Cardiorespiratory signature of neonatal sepsis

1+ y ago 12:08

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Indhold leveret af Springer Nature. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Springer Nature eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Heart rate characteristics and demographic factors have long been used to aid early detection of late-onset sepsis, however respiratory data may contain additional signatures of infection. In this episode we meet Early Career Investigator Brynne Sullivan from the University of Virginia. She and her team developed machine learning models to predict late-onset sepsis that were trained on heart rate and respiratory data to provide a cardiorespiratory early warning system which outperformed models using heart rate or demographics alone. Read the full article here: https://www.nature.com/articles/s41390-022-02444-7

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554 episoder

#Nature Research #Science

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Cardiorespiratory signature of neonatal sepsis

Springer Nature

111 subscribers

published 1+ y ago

Del

MP3•Episode hjem

Indhold leveret af Springer Nature. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Springer Nature eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Heart rate characteristics and demographic factors have long been used to aid early detection of late-onset sepsis, however respiratory data may contain additional signatures of infection. In this episode we meet Early Career Investigator Brynne Sullivan from the University of Virginia. She and her team developed machine learning models to predict late-onset sepsis that were trained on heart rate and respiratory data to provide a cardiorespiratory early warning system which outperformed models using heart rate or demographics alone. Read the full article here: https://www.nature.com/articles/s41390-022-02444-7

… continue reading

554 episoder

#Nature Research #Science

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