Evidence map›Paper›PMID 34833435›Full record

ArticleMedicina (Kaunas, Lithuania)2021

Hybrid Feature Selection Framework for the Parkinson Imbalanced Dataset Prediction Problem.

Hayder Mohammed Qasim, Oguz Ata, Mohammad Azam Ansari, Mohammad N Alomary, Saad Alghamdi, Mazen Almehmadi

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Multi-objective deep learning framework for COVID-19 dataset problems.Journal of King Saud University. Science · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network.Computers & electrical engineering : an international journal · 2022
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Hayder Mohammed QasimDepartment of Electrical and Computer Engineering, Institute of Science, Altinbas University, Istanbul 34218, Turkey.ORCID 0000-0002-6591-0609
Oguz AtaDepartment of Electrical and Computer Engineering, Institute of Science, Altinbas University, Istanbul 34218, Turkey.ORCID 0000-0003-4511-7694
Mohammad Azam AnsariDepartment of Epidemic Disease Research, Institute for Research & Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia.ORCID 0000-0002-6122-5479
Mohammad N AlomaryNational Centre for Biotechnology, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia.ORCID 0000-0001-7909-4377
Saad AlghamdiLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah 24382, Saudi Arabia.ORCID 0000-0003-4532-9128
Mazen AlmehmadiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-7580-8667
Altınbaş University · TRImam Abdulrahman Bin Faisal University · SAKing Abdulaziz City for Science and Technology · SATaif University · SAUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Parkinson DiseaseAlgorithmsCluster AnalysisHumansNeural Networks, ComputerSupport Vector Machinemachine learningParkinson detectionPCARFESMOTE

Identifiers

PMID34833435
PMCPMC8619928
OpenAlexW3213749493

What Socratic 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 Socratic graph.