LATE-ONSET NEONATAL SEPSIS PREDICTIONS

A controller (150) includes a processor (152) that executes instructions to apply trained artificial intelligence to new measurements of vital signs of a neonatal patient and new laboratory results from laboratory tests of the neonatal patient, to changes between the new measurements of vital signs...

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Main Authors VIJ, SHRUTI GOPAL, TGAVALEKOS, KRISTEN, BOVERMAN, GREGORY
Format Patent
LanguageEnglish
Published 18.07.2024
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Abstract A controller (150) includes a processor (152) that executes instructions to apply trained artificial intelligence to new measurements of vital signs of a neonatal patient and new laboratory results from laboratory tests of the neonatal patient, to changes between the new measurements of vital signs of the neonatal patient and previous measurements of vital signs of the neonatal patient, and to changes between the new laboratory results from laboratory tests of the neonatal patient and previous laboratory results from laboratory tests of the neonatal patient. The controller (150) is configured to compute, based on applying the trained artificial intelligence after retrieving the new measurements of vital signs of the neonatal patient and the new laboratory results from laboratory tests of the neonatal patient, a determination in advance indicating whether the neonatal patient will be diagnosable with late-onset neonatal sepsis.
AbstractList A controller (150) includes a processor (152) that executes instructions to apply trained artificial intelligence to new measurements of vital signs of a neonatal patient and new laboratory results from laboratory tests of the neonatal patient, to changes between the new measurements of vital signs of the neonatal patient and previous measurements of vital signs of the neonatal patient, and to changes between the new laboratory results from laboratory tests of the neonatal patient and previous laboratory results from laboratory tests of the neonatal patient. The controller (150) is configured to compute, based on applying the trained artificial intelligence after retrieving the new measurements of vital signs of the neonatal patient and the new laboratory results from laboratory tests of the neonatal patient, a determination in advance indicating whether the neonatal patient will be diagnosable with late-onset neonatal sepsis.
Author BOVERMAN, GREGORY
VIJ, SHRUTI GOPAL
TGAVALEKOS, KRISTEN
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Snippet A controller (150) includes a processor (152) that executes instructions to apply trained artificial intelligence to new measurements of vital signs of a...
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SubjectTerms DIAGNOSIS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
Title LATE-ONSET NEONATAL SEPSIS PREDICTIONS
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