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Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies
This study was to preview the risk of 30-day mortality in sepsis patients using sentiment analysis. The clinical data of patients and nursing notes were collected from the Medical Information Mart for Intensive Care (MIMIC-III) database. The factors influencing 30-day mortality were analyzed using t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560239/ https://www.ncbi.nlm.nih.gov/pubmed/34733452 http://dx.doi.org/10.1155/2021/1713363 |
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author | Zou, Yanqun Wang, Jian Lei, Zheng Zhang, Yuanjun Wang, Wenfeng |
author_facet | Zou, Yanqun Wang, Jian Lei, Zheng Zhang, Yuanjun Wang, Wenfeng |
author_sort | Zou, Yanqun |
collection | PubMed |
description | This study was to preview the risk of 30-day mortality in sepsis patients using sentiment analysis. The clinical data of patients and nursing notes were collected from the Medical Information Mart for Intensive Care (MIMIC-III) database. The factors influencing 30-day mortality were analyzed using the Cox regression model. And, the prognostic index (PI) was estimated. The receiver operating characteristic (ROC) curve was used to determine the PI cut-off point and assess the prediction ability of the model. In total, 1844 of 3560 patients were eligible for the study, with a 30-day mortality of 37.58%. Multivariate Cox analysis showed that sentiment polarity scores, sentiment subjectivity scores, simplified acute physiology score (SAPS)-II, age, and intensive care unit (ICU) types were all associated with the risk of 30-day mortality (P < 0.05). In the preview of 30-day mortality, the area under the curve (AUC) of ROC was 0.78 (95%CI: 0.74–0.81,P < 0.001) when the cut-off point of PI was 0.467. The documented notes from nurses were described for the first time. Sentiment scores measured in nursing notes are associated with the risk of 30-day mortality in sepsis patients and may improve the preview of 30-day mortality. |
format | Online Article Text |
id | pubmed-8560239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-85602392021-11-02 Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies Zou, Yanqun Wang, Jian Lei, Zheng Zhang, Yuanjun Wang, Wenfeng J Healthc Eng Research Article This study was to preview the risk of 30-day mortality in sepsis patients using sentiment analysis. The clinical data of patients and nursing notes were collected from the Medical Information Mart for Intensive Care (MIMIC-III) database. The factors influencing 30-day mortality were analyzed using the Cox regression model. And, the prognostic index (PI) was estimated. The receiver operating characteristic (ROC) curve was used to determine the PI cut-off point and assess the prediction ability of the model. In total, 1844 of 3560 patients were eligible for the study, with a 30-day mortality of 37.58%. Multivariate Cox analysis showed that sentiment polarity scores, sentiment subjectivity scores, simplified acute physiology score (SAPS)-II, age, and intensive care unit (ICU) types were all associated with the risk of 30-day mortality (P < 0.05). In the preview of 30-day mortality, the area under the curve (AUC) of ROC was 0.78 (95%CI: 0.74–0.81,P < 0.001) when the cut-off point of PI was 0.467. The documented notes from nurses were described for the first time. Sentiment scores measured in nursing notes are associated with the risk of 30-day mortality in sepsis patients and may improve the preview of 30-day mortality. Hindawi 2021-10-25 /pmc/articles/PMC8560239/ /pubmed/34733452 http://dx.doi.org/10.1155/2021/1713363 Text en Copyright © 2021 Yanqun Zou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zou, Yanqun Wang, Jian Lei, Zheng Zhang, Yuanjun Wang, Wenfeng Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies |
title | Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies |
title_full | Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies |
title_fullStr | Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies |
title_full_unstemmed | Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies |
title_short | Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies |
title_sort | sentiment analysis for necessary preview of 30-day mortality in sepsis patients and the control strategies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560239/ https://www.ncbi.nlm.nih.gov/pubmed/34733452 http://dx.doi.org/10.1155/2021/1713363 |
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