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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
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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. |
format | Online Article Text |
id | pubmed-9524715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
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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