ArticleContrast media & molecular imaging2022
Exploration of the Application Effect of the Darongtong Course Model Based on Deep Learning Enhancement in Nursing.
Article in Contrast media & molecular imaging, 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 It has been retracted, and should not be counted.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 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Retracted: Exploration of the Application Effect of the Darongtong Course Model Based on Deep Learning Enhancement in Nursing.Contrast media & molecular imaging · 2023Article
Corrections and comments
- Retraction · 2023-09-27Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/A29C39617BB14298CCD9E59004F9CA
- Retracted
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to explore the application effect of the Darongtong course model based on deep learning enhancement in nursing, a total of 500 students in the school are investigated. The students in the contrast set are given the traditional teaching mode, and the students in the research set are provided with a teaching method based on deep learning-enhanced Darongtong mode. The evaluation results, teaching quality, students' cognition of teaching effect and their satisfaction with teaching mode before and after teaching were compared between the two groups. From the experimental results, it can be seen that the application of Datong general teaching based on deep learning in school nursing students can not only deepen students' understanding of theoretical knowledge, improve clinical skills, cultivate students' nurse patient communication skills and clinical thinking, but also improve students' subjective initiative. It is clearly evident that the Darongtong course model based on deep learning enhancement in nursing can stimulate students' interest in learning, and improve their self-study ability and problem-solving ability effectively.
Indexed as
Identifiers
What OpenQuestion holds
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.