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Developing a framework for evidence-based grading and assessment of predictive tools for clinical de...

Developing a framework for evidence-based grading and assessment of predictive tools for clinical de...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a687d8f6f5a640dc91b359babf35c2dd

Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support

About this item

Full title

Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2019-10, Vol.19 (1), p.207-17, Article 207

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools for implementation at clinical practice or for recommendation in clinical guidelines, clinicians are challenged with an overwhelming and ever-growing number of tools, mos...

Alternative Titles

Full title

Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a687d8f6f5a640dc91b359babf35c2dd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a687d8f6f5a640dc91b359babf35c2dd

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-019-0940-7

How to access this item