Evidence map›Paper›PMID 41300858›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Hybrid MCDM and Machine Learning Framework for Thalassemia Risk Assessment in Pregnant Women.

Shefayatuj Johara Chowdhury, Tanjim Mahmud, Farzana Tasnim, Sanjida Sharmin, Saida Nawal, Umme Habiba Papri, Samia Afreen Dolon, Md Eftekhar Alam, Mohammad Shahadat Hossain, Karl Andersson

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Shefayatuj Johara ChowdhuryDepartment of Computer Science and Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.ORCID 0009-0003-0276-7352
Tanjim MahmudDepartment of Computer Science and Engineering, Rangamati Science and Technology University, Rangamati 4500, Bangladesh.ORCID 0000-0002-1892-0310
Farzana TasnimDepartment of Computer Science and Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.
Sanjida SharminDepartment of Computer Science and Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.
Saida NawalDepartment of Computer Science and Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.
Umme Habiba PapriDepartment of Computer Science and Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.
Samia Afreen DolonDepartment of Computer Science and Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.
Md Eftekhar AlamDepartment of Electrical and Electronic Engineering, International Islamic University Chittagong, Chittagong 4318, Bangladesh.ORCID 0000-0003-1417-2113
Mohammad Shahadat HossainDepartment of Computer Science and Engineering, University of Chittagong, Chittagong 4331, Bangladesh.ORCID 0000-0002-7473-8185
Karl AnderssonCybersecurity Laboratory, Luleå University of Technology, S-931 87 Skellefteå, Sweden.ORCID 0000-0003-0244-3561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AHP-TOPSISbiomedical informaticsCatBoostclinical decision supportexplainable AIfeature selectionLIMEmachine learningmaternal healthrisk assessmentSHAPthalassemia prediction

Identifiers

PMID41300858
PMCPMC12651642

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.