COVID-19 Diagnosis Using Capsule Network and Fuzzy

Ali Farki, Zahra Salekshahrezaee, Arash Mohammadi Tofigh, Reza Ghanavati, Behdad Arandian, Amirahmad Chapnevis

Abstract read

In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Medical Image Classification Utilizing Ensemble Learning and Levy Flight-Based Honey Badger Algorithm on 6G-Enabled Internet of Things.Computational intelligence and neuroscience · 2022
Article
Intrusion Detection System for IoT Based on Deep Learning and Modified Reptile Search Algorithm.Computational intelligence and neuroscience · 2022
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.

Ali FarkiDepartment of Information Technology Engineering, Industrial and Systems Engineering Faculty, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0003-2811-8230

Zahra SalekshahrezaeeFlorida Atlantic University, College of Engineering and Computer Science, Boca Raton, Florida 33431, USA.

Arash Mohammadi TofighDepartment of General Surgery, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Reza GhanavatiDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.

Behdad ArandianDepartment of Electrical Engineering, Dolatabad Branch, Islamic Azad University, Isfahan, Iran.ORCID https://orcid.org/0000-0002-4984-7224

Amirahmad ChapnevisDepartment of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran.ORCID https://orcid.org/0000-0003-2258-3449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 epidemic is spreading day by day. Early diagnosis of this disease is essential to provide effective preventive and therapeutic measures. This process can be used by a computer-aided methodology to improve accuracy. In this study, a new and optimal method has been utilized for the diagnosis of COVID-19. Here, a method based on fuzzy

Indexed as

AlgorithmsCOVID-19Databases, FactualDiagnosis, Computer-AssistedHumansImage EnhancementMachine LearningNeural Networks, ComputerRadiographySensitivity and SpecificityX-Rays

Identifiers

PMID34676259

DOI10.1155/2021/2295920

PMCPMC8526241

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.