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Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review

Bacteremia is a common and life-threatening condition. It has an incidence of 140 to 160 per 100,000 person-years in the United States. Since bacteremia has many presentations, it can be challenging to diagnose. Subsequently there are very few guidelines on when to order a blood culture in an emerge...

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Detalles Bibliográficos
Autores principales: Giovane, Richard, Sheppard, Robert A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524715/
https://www.ncbi.nlm.nih.gov/pubmed/36196317
http://dx.doi.org/10.7759/cureus.28635
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author Giovane, Richard
Sheppard, Robert A
author_facet Giovane, Richard
Sheppard, Robert A
author_sort Giovane, Richard
collection PubMed
description Bacteremia is a common and life-threatening condition. It has an incidence of 140 to 160 per 100,000 person-years in the United States. Since bacteremia has many presentations, it can be challenging to diagnose. Subsequently there are very few guidelines on when to order a blood culture in an emergency setting. Neural networks are a means of machine learning and are presently being used in medicine to aid in decision making. With the use of machine learning, 22 variables that have been associated with infection and bacteremia were used to build a neural network to determine which variables associated with bacteremia are most associated with a positive blood culture.
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spelling pubmed-95247152022-10-03 Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review Giovane, Richard Sheppard, Robert A Cureus Emergency Medicine Bacteremia is a common and life-threatening condition. It has an incidence of 140 to 160 per 100,000 person-years in the United States. Since bacteremia has many presentations, it can be challenging to diagnose. Subsequently there are very few guidelines on when to order a blood culture in an emergency setting. Neural networks are a means of machine learning and are presently being used in medicine to aid in decision making. With the use of machine learning, 22 variables that have been associated with infection and bacteremia were used to build a neural network to determine which variables associated with bacteremia are most associated with a positive blood culture. Cureus 2022-08-31 /pmc/articles/PMC9524715/ /pubmed/36196317 http://dx.doi.org/10.7759/cureus.28635 Text en Copyright © 2022, Giovane et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Emergency Medicine
Giovane, Richard
Sheppard, Robert A
Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review
title Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review
title_full Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review
title_fullStr Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review
title_full_unstemmed Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review
title_short Patient Parameters Associated With a Positive Blood Culture Using NeuroShell: A Retrospective Chart Review
title_sort patient parameters associated with a positive blood culture using neuroshell: a retrospective chart review
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524715/
https://www.ncbi.nlm.nih.gov/pubmed/36196317
http://dx.doi.org/10.7759/cureus.28635
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