A software tool for applying Bayes' theorem in medical diagnostics

The software tool enhances the estimation and facilitates the comparison of Bayesian diagnostic measures, which are critical for medical practice. It provides a framework for their uncertainty quantification and assists in understanding and applying Bayes' theorem in medical diagnostics.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-12-21
DOI
https://doi.org/10.1186/s12911-024-02721-x
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A software tool for applying Bayes' theorem in medical diagnostics

Aristides T. Hatjimihail, Theodora Chatzimichail
BMC Medical Informatics and Decision Making
Diabetes Management and Research
article

A software tool for applying Bayes' theorem in medical diagnostics

Aristides T. Hatjimihail, Theodora Chatzimichail
article en

Abstract

The software tool enhances the estimation and facilitates the comparison of Bayesian diagnostic measures, which are critical for medical practice. It provides a framework for their uncertainty quantification and assists in understanding and applying Bayes' theorem in medical diagnostics.

BMC Medical Informatics and Decision MakingVol. 24(1)
General Hospital of Drama (GR), Hellenic Complex Systems Laboratory
Openalex Percentile: Top 63%
Diabetes Management and Research
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