Evidence map›Paper›PMID 35655478›Full record

ArticleBioMed research international2022

Early Detection of Autism Spectrum Disorders (ASD) with the Help of Data Mining Tools.

Ammar Akram Abdulrazzaq, Sana Sulaiman Hamid, Asaad T Al-Douri, A A Hamad Mohamad, Abdelrahman Mohamed Ibrahim

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 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 It has been retracted, and should not be counted.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

5 authors.

Ammar Akram AbdulrazzaqDepartment of Medical Laboratory Techniques, Al-Maarif University College, Al-Anbar, Iraq.
Sana Sulaiman HamidAl-Farahidi University, Communication Technical Engineering, Baghdad, Iraq.
Asaad T Al-DouriDepartment of Dental Industry, College of Medical Technology, Al-Kitab University, Iraq.
A A Hamad MohamadDepartment of Medical Laboratory Techniques, Dijlah University College, Baghdad 10021, Iraq.
Abdelrahman Mohamed IbrahimAccounting and Financial Management, School of Management Studies, University of Khartoum, Sudan.ORCID https://orcid.org/0000-0002-1413-1189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism is a disorder of neurobiological origin that originates a different course in the development of verbal and nonverbal communication, social interactions, the flexibility of behavior, and interests. The results obtained offer relevant information to reflect on the practices currently used in assessing the development of children and the detection of ASD and suggest the need to strengthen the training of health professionals in aspects such as psychology and developmental disorders. This study, based on genuine and current facts, used data from 292 children with an autism spectrum disorder. The input dataset has 20 characteristics, and the output dataset has one attribute. The output property indicates whether or not a certain person has autism. The research study first and foremost performed data pretreatment activities such as filling in missing data gaps in the data collection, digitizing categorical data, and normalizing. The features were then clustered using

Indexed as

Autism Spectrum DisorderAutistic DisorderChildData MiningHumans

Identifiers

PMID35655478
PMCPMC9152406

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.