ArticleMedical journal of the Islamic Republic of Iran2021
Performance evaluation of selected decision tree algorithms for COVID-19 diagnosis using routine clinical data.
Article in Medical journal of the Islamic Republic of Iran, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Development of decision tree classification algorithms in predicting mortality of COVID-19 patients.International journal of emergency medicine · 2024Article
- COVID-19 infection inference with graph neural networks.Scientific reports · 2023Article
- Diagnostic accuracy of a set of clinical and radiological criteria for screening of COVID-19 using RT-PCR as the reference standard.BMC pulmonary medicine · 2023Article
- Hemogram-based decision tree models for discriminating COVID-19 from RSV in infants.Journal of clinical laboratory analysis · 2023Article
- Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis.BMC bioinformatics · 2023Article
- A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?PLOS digital health · 2022Article
- Supervised Machine Learning Approach to COVID-19 Detection Based on Clinical Data.Medical journal of the Islamic Republic of Iran · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
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Registered trials
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