Risk early warning system and method for post-ICU syndrome patient

The invention discloses a risk early warning method for a post-ICU syndrome patient. The method comprises the following steps: screening risk early-warning indexes of critical patients with post-ICU syndromes, and constructing a post-ICU syndrome early risk prediction model by using a BP neural netw...

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Hauptverfasser: WANG YING, LIU XIAOHUI, ZHOU JING, HE MIN, CHANG YONGHU, JIANG ZHIXIA, CHEN JUNXI, LI LI, ZHANG XIA, HU RUJUN
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creator WANG YING
LIU XIAOHUI
ZHOU JING
HE MIN
CHANG YONGHU
JIANG ZHIXIA
CHEN JUNXI
LI LI
ZHANG XIA
HU RUJUN
description The invention discloses a risk early warning method for a post-ICU syndrome patient. The method comprises the following steps: screening risk early-warning indexes of critical patients with post-ICU syndromes, and constructing a post-ICU syndrome early risk prediction model by using a BP neural network-based machine learning method; a post-ICU syndrome patient whole-course care mode is constructed, and a specific intervention scheme is generated for the patient; and a post-ICU syndrome patient risk early warning and whole process management system is constructed. According to the risk early warning system and method for the post-ICU syndrome patient, manpower and material resources are saved, the assessment accuracy can be improved, medical workers can find potential or existing PICS risks of the patient in the nursing service process in time, risk factors of the post-ICU syndrome of the patient are recognized in advance, and the risk early warning effect is improved. And corresponding nursing measures are gu
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
title Risk early warning system and method for post-ICU syndrome patient
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