An retrospective study on the effects of deep learning model-based optimization emergency nursing on treatment compliance and curative effect of patients with acute left heart failure

It was demonstrated that explainable DenseNet model had application values in the diagnosis of ALHF. Optimization emergency method could effectively shorten the duration of first aid, relieve anxiety, and other adverse emotions, and improve rescue success rate and short-term efficacy. Nursing intervention has a positive impact on the total effective efficiency and patient satisfaction.

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Publication Details

Journal
BMC Emergency Medicine
Published
2024-12-31
DOI
https://doi.org/10.1186/s12873-024-01156-x
Primary Topic
Cardiac Health and Mental Health
Type
article
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article

An retrospective study on the effects of deep learning model-based optimization emergency nursing on treatment compliance and curative effect of patients with acute left heart failure

Qian Dai, Song Lin, Hui Huang, Jing Huang
BMC Emergency Medicine
Cardiac Health and Mental Health
article

An retrospective study on the effects of deep learning model-based optimization emergency nursing on treatment compliance and curative effect of patients with acute left heart failure

Qian Dai, Song Lin, Hui Huang, Jing Huang
article en

Abstract

It was demonstrated that explainable DenseNet model had application values in the diagnosis of ALHF. Optimization emergency method could effectively shorten the duration of first aid, relieve anxiety, and other adverse emotions, and improve rescue success rate and short-term efficacy. Nursing intervention has a positive impact on the total effective efficiency and patient satisfaction.

BMC Emergency MedicineVol. 24(1)
Xuzhou Medical College (CN)
Good health and well-being
Openalex Percentile: Top 56%
Cardiac Health and Mental Health
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