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...

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Autores principales:	Yanqun Zou, Jian Wang, Zheng Lei, Yuanjun Zhang, Wenfeng Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/47ab93b727164eb288fbd89ea5e92a54
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spelling	oai:doaj.org-article:47ab93b727164eb288fbd89ea5e92a542021-11-08T02:36:41ZSentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies2040-230910.1155/2021/1713363https://doaj.org/article/47ab93b727164eb288fbd89ea5e92a542021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1713363https://doaj.org/toc/2040-2309This 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.Yanqun ZouJian WangZheng LeiYuanjun ZhangWenfeng WangHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Yanqun Zou Jian Wang Zheng Lei Yuanjun Zhang Wenfeng Wang Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies
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	article
author	Yanqun Zou Jian Wang Zheng Lei Yuanjun Zhang Wenfeng Wang
author_facet	Yanqun Zou Jian Wang Zheng Lei Yuanjun Zhang Wenfeng Wang
author_sort	Yanqun Zou
title	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_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_sort	sentiment analysis for necessary preview of 30-day mortality in sepsis patients and the control strategies
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/47ab93b727164eb288fbd89ea5e92a54
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Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies

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