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.
Authors
- Qian Dai (ORCID: https://orcid.org/0000-0002-5774-7469)
- Song Lin (ORCID: https://orcid.org/0000-0002-7423-7217)
- Hui Huang (ORCID: https://orcid.org/0000-0002-6887-0761)
- Jing Huang (ORCID: https://orcid.org/0000-0003-2870-8687)
Institutions
- Xuzhou Medical College (CN)
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
- Field-Weighted Citation Impact
- 0.00