Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic lite...
Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic literature reviews
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Publisher
England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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Contents
Evidence-based medicine requires synthesis of research through rigorous and time-intensive systematic literature reviews (SLRs), with significant resource expenditure for data extraction from scientific publications. Machine learning may enable the timely completion of SLRs and reduce errors by automating data identification and extraction.
We e...
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Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic literature reviews
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TN_cdi_doaj_primary_oai_doaj_org_article_823ed15460a84fe898b7a75d4ec43e1f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_823ed15460a84fe898b7a75d4ec43e1f
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ISSN
2046-4053
E-ISSN
2046-4053
DOI
10.1186/s13643-023-02351-w