Evidence map›Paper›PMID 34795791›Full record

ArticleComputational and mathematical methods in medicine2021

Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis of

Mina Jahangiri, Fakher Rahim, Najmaldin Saki, Amal Saki Malehi

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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  9. Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis ofComputational and mathematical methods in medicine · 2021
    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

4 authors.

Mina JahangiriPh.D. Student, Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0001-9119-7571
Fakher RahimThalassemia & Hemoglobinopathy Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID https://orcid.org/0000-0002-2857-4562
Najmaldin SakiThalassemia & Hemoglobinopathy Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID https://orcid.org/0000-0001-8494-5594
Amal Saki MalehiThalassemia & Hemoglobinopathy Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID https://orcid.org/0000-0002-0952-5861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSeveral discriminating techniques have been proposed to discriminate between

methodThis cross-sectional study included 907 patients with ages over 18 years old and a mean (±SD) age of 25 ± 16.1 with either

resultsThis study proposes an automatic detection model of beta-thalassemia carriers based on a Bayesian tree-based method. The BLTREED model and CART showed that mean corpuscular volume (MCV) was the main predictor in diagnostic discrimination. According to the test dataset, CART indicated higher sensitivity and negative predictive value than BLTREED for differential diagnosis of

conclusionsThe BLTREED model showed excellent diagnostic accuracy for differentiating

Indexed as

Bayes TheoremDecision TreesAdultAlgorithmsAnemia, Iron-Deficiencybeta-ThalassemiaComputational BiologyCross-Sectional StudiesDiagnosis, DifferentialErythrocyte IndicesFemaleHematologyHumansIranMaleYoung Adult

Identifiers

PMID34795791
PMCPMC8594992

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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.