Evidence map›Paper›PMID 35126953›Full record

ArticleJournal of healthcare engineering2022

Internet-Based Approaches to Designing an Online Fitness Platform.

Bo Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 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 It has been retracted, and should not be counted.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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Bo LiuChengde Medical University, Chengde 067000, Hebei, China.ORCID 0000-0003-0405-7656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, national fitness has become a hot topic. How to take healthy and effective exercise on a daily basis is an urgent problem to be tackled. Web-based platforms are accessible through cellphones, which include fitness records, teaching videos, and result feedback. These three aspects assist users in completing their initial evaluation, which further contributes to health improvement. Additionally, enhancement in the well-being of individuals is carried through video recommendations. In order to proceed fitness related videos suggestions, this platform uses a collaborative filtering algorithm, which is based on videos recommendation. To receive suggestions, this methodology acquires five queries to be completely addressed at the preliminary stage. This initial assessment is commonly known as a cold-start evaluation strategy. Furthermore, popularity punishment measures are incorporated to enhance productivity. Finally, this platform offers an online-based approach for the inspection, assessment of the national fitness, and orientation for the future improvement of the fitness database.

Indexed as

ExerciseInternetFeedbackHumans

Identifiers

PMID35126953
PMCPMC8808173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.