Exploratory Machine Learning-Based Classification of Type 2 Diabetes Using Routine Clinical Parameters: A Single-Center Comparative Study.

Neşe Bülbül, Rukiye Çiftçi, İpek Atik, Özgür Eken, Nuriye Efe Ertürk, Monira I Aldhahi

Abstract read

In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Neşe BülbülDepartment of Endocrinology and Metabolism, Gaziantep Islam Science and Technology University, Gaziantep 27260, Türkiye.

Rukiye ÇiftçiDepartment of Anatomy, Gaziantep Islam Science and Technology University, Gaziantep 27260, Türkiye.

İpek AtikDepartment of Electrical Electronics Engineering, Gaziantep Islam Science and Technology University, Gaziantep 27260, Türkiye.ORCID 0000-0002-9761-1347

Özgür EkenDepartment of Physical Education and Sport Teaching, Faculty of Sports Sciences, Inonu University, Malatya 44280, Türkiye.ORCID 0000-0002-5488-3158

Nuriye Efe ErtürkInternal Medicine Nursing Department, Gaziantep Islam Science and Technology University, Gaziantep 27260, Türkiye.

Monira I AldhahiDepartment of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-5255-4860

Funding

Princess Nourah bint Abdulrahman University PNURSP2026R286

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecomplete blood countdecision treeHbA1cmachine learningrandom foresttype 2 diabetes mellitus

Identifiers

PMID42354567

DOI10.3390/healthcare14121710

PMCPMC13299203

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.