A software tool for applying Bayes' theorem in medical diagnostics
Abstract Background In medical diagnostics, estimating post-test or posterior probabilities for disease, positive and negative predictive values, and their associated uncertainty is essential for patient care. Objective The aim of this work is to introduce a software tool developed in the Wolfram La...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-024-02721-x |
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