ArticleJournal of environmental and public health2022
Comparative Analysis of Chinese Culture and Hong Kong, Macao, and Taiwan Culture in the Field of Public Health Based on the CNN Model.
Article in Journal of environmental and public health, 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 It has been retracted, and should not be counted.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.
- Retracted: Comparative Analysis of Chinese Culture and Hong Kong, Macao, and Taiwan Culture in the Field of Public Health Based on the CNN Model.Journal of environmental and public health · 2023Article
Corrections and comments
- Retraction · 2023-06-28Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In view of the defect of a large amount of information on cultural resources and poor recommendation effect on a standalone platform, a cultural recommendation system based on the Hadoop platform was proposed, combined with the convolutional neural network (CNN). It aims to improve the adaptability of Chinese culture and Hong Kong, Macao, and Taiwan culture. Firstly, the CNN is used to encode the collected information deeply and map it to the deep feature space. Secondly, the attention mechanism is used to focus the coded features in the deep feature space to improve the classification ability of features. Then, the model in this article is deployed using the distributed file system of the Hadoop platform, and the MapReduce programming model is used to implement the cultural resource recommendation algorithm in parallel. Finally, the recommendation simulation experiment of cultural resources is carried out, and the results show that the proposed model has good recommendation performance, and it is applied to open-source data in the real public health field to test, and the results also perform well.
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.