Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms.

Walaa H Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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.

Respiratory sound-based AI screening of asthma and COPD via multi-feature fusion and CatBoost classification.Scientific reports · 2026
Article
The Role and Diagnostic Accuracy of Artificial Intelligence in Pulmonary Function Tests: A Systematic Review.Current health sciences journal
Review

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

5 authors.

Walaa H ElashmawiDepartment of Computer Science, Suez Canal University, Ismailia 41522, Egypt.ORCID 0000-0003-0142-0632

Adel DjellalDepartment of Electronics, Electrotechnics, and Automation (EEA), National Higher School of Technology and Engineering, Annaba 23000, Algeria.ORCID 0000-0002-5723-0099

Alaa ShetaComputer Science Department, Southern Connecticut State University, New Haven, CT 06515, USA.ORCID 0000-0002-3727-6276

Salim SuraniDepartment of Pharmacy & Medicine, Texas A&M University, College Station, TX 75428, USA.

Sultan AljahdaliComputer Science Department, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0003-2615-8271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial neural network (ANN)chronic obstructive pulmonary disease (COPD)machine learning (ML)random forest classifier (RFC)

Identifiers

PMID39767182

DOI10.3390/diagnostics14242822

PMCPMC11674508

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.