Evidence map›Paper›PMID 38058649›Full record

ArticleHeliyon2023

Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks.

Mahyar Ghafoori, Mehrab Hamidi, Rassa Ghavami Modegh, Alireza Aziz-Ahari, Neda Heydari, Zeynab Tavafizadeh, Omid Pournik, Sasan Emdadi, Saeed Samimi, Amir Mohseni and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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.

  1. Article
  2. 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

13 authors.

Mahyar GhafooriRadiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran.
Mehrab HamidiBCB Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.
Rassa Ghavami ModeghData science and Machine learning Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.
Alireza Aziz-AhariRadiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran.
Neda HeydariRadiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran.
Zeynab TavafizadehRadiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran.
Omid PournikRadiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran.
Sasan EmdadiAI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.
Saeed SamimiAI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.
Amir MohseniAI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.
Mohammadreza KhaleghiRadiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran.
Hamed DashtiAI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.
Hamid R RabieeData science and Machine learning Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Computer-aided diagnosisComputerized tomography imagingDeep neural networksMultimodal analysisOmicron variant

Identifiers

PMID38058649
PMCPMC10696006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.