ArticleComputational intelligence and neuroscience2022
Learning of Short Video Text Description of Nursing Teaching Based on Transformer.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Article
- RETRACTION: Learning of Short Video Text Description of Nursing Teaching Based on Transformer.Computational intelligence and neuroscience · 2024Article
Corrections and comments
- Retracted
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nursing is an important task in modern medical treatment, which can assist patients in the treatment and rehabilitation process. Nursing practitioners' skills and mentality can affect patient recovery and the speed of treatment. Therefore, there are already a large number of colleges and universities to carry out nursing teaching work. However, the current nursing teaching work still adopts the traditional teaching mode, which is no longer in line with the nursing work of the present era. Nursing teaching not only imparts nursing expertise to students, but it also requires higher practical ability. This study considers the integration of short video technology and text teaching mode into the teaching work of nursing. This study also used the transformer method to extract and predict the characteristics of nursing knowledge, nursing actions, and student satisfaction in short nursing teaching videos and texts. This study also explores the temporal characteristics existing in short videos of nursing teaching. The results show that the T-CNN-L method has higher accuracy than the T-CNN method in predicting the relevant features of nursing teaching short videos. The T-CNN-L method can also accurately and efficiently extract and predict nursing knowledge features and nursing action features.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.