Evidence map›Paper›PMID 35299678›Full record

ArticleJournal of healthcare engineering2022

Mental Health Evaluation Based on Visual Analysis Technology.

Weifeng Kong

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 It has been retracted, and should not be counted.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.

Weifeng KongDepartment of Basic Courses, Jiyuan Vocational and Technical College, Jiyuan 459000, China.ORCID 0000-0003-4460-0422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to solve the problems existing in the current mental health assessment system and how to better help individuals analyze their mental health, propose a mental health assessment method based on visual analysis technology; through the study of mental health assessment methods, use the SCL-90 symptom self-rating scale as the mental health assessment scale of this article. Combined with the conceptual design proposed in this article, realize a mental health assessment based on visual analysis technology. The system conducts visual analysis of personal current data and historical data and helps users understand their current mental health. Evaluate the system through user surveys and system quality, and the feasibility and practicability of this method are verified.

Indexed as

Mental HealthResearch DesignData VisualizationHumansMental DisordersSurveys and QuestionnairesTechnology

Identifiers

PMID35299678
PMCPMC8923758

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.