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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19672995 |
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| _version_ | 1866902175050891264 |
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| author | Hayden Farquhar |
| author_facet | Hayden Farquhar |
| contents | <h2>BEACON v1.0.0 — Replication Repository</h2> <p>Full replication repository for the BEACON manuscript: "An Open-Source Bayesian Diagnostic Differential for Febrile Returned Travellers with Live Outbreak Priors."</p> <h3>Contents</h3> <ul> <li>Complete source code (inference engine, data pipeline, validation scripts)</li> <li>Clinical knowledge data (graded symptom definitions, 204 cited cells)</li> <li>Validation case sets (38 published + 99 simulation-calibrated = 137 total)</li> <li>Pre-registered statistical analyses (bootstrap CIs, McNemar, perturbation sensitivity)</li> <li>WHO Disease Outbreak News outbreak signal archive</li> <li>Evidence source table (Supplementary Table S1)</li> <li>TRIPOD+AI checklist</li> </ul> <h3>Key Results</h3> <ul> <li>Top-1 accuracy: 71.5% (95% CI 63.5–78.8%)</li> <li>Top-5 accuracy: 94.9% (95% CI 91.2–98.5%)</li> <li>Pre-registered hypothesis met (Top-5 ≥ 70%; lower CI bound 91.2%)</li> </ul> <h3>Links</h3> <ul> <li>Pre-registration: https://doi.org/10.17605/OSF.IO/MA6YD</li> <li>App repository: https://github.com/hayden-farquhar/BEACON</li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19672995 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | hayden-farquhar/Traveller-Fever-Differential: BEACON v1.0.0 — Replication Repository Hayden Farquhar <h2>BEACON v1.0.0 — Replication Repository</h2> <p>Full replication repository for the BEACON manuscript: "An Open-Source Bayesian Diagnostic Differential for Febrile Returned Travellers with Live Outbreak Priors."</p> <h3>Contents</h3> <ul> <li>Complete source code (inference engine, data pipeline, validation scripts)</li> <li>Clinical knowledge data (graded symptom definitions, 204 cited cells)</li> <li>Validation case sets (38 published + 99 simulation-calibrated = 137 total)</li> <li>Pre-registered statistical analyses (bootstrap CIs, McNemar, perturbation sensitivity)</li> <li>WHO Disease Outbreak News outbreak signal archive</li> <li>Evidence source table (Supplementary Table S1)</li> <li>TRIPOD+AI checklist</li> </ul> <h3>Key Results</h3> <ul> <li>Top-1 accuracy: 71.5% (95% CI 63.5–78.8%)</li> <li>Top-5 accuracy: 94.9% (95% CI 91.2–98.5%)</li> <li>Pre-registered hypothesis met (Top-5 ≥ 70%; lower CI bound 91.2%)</li> </ul> <h3>Links</h3> <ul> <li>Pre-registration: https://doi.org/10.17605/OSF.IO/MA6YD</li> <li>App repository: https://github.com/hayden-farquhar/BEACON</li> </ul> |
| title | hayden-farquhar/Traveller-Fever-Differential: BEACON v1.0.0 — Replication Repository |
| url | https://doi.org/10.5281/zenodo.19672995 |