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Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection
Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to suspect illness and fail to order appropriate tests. Depending on how such algorithms handle missing data, they could even indicate “low risk” s...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619833/ https://www.ncbi.nlm.nih.gov/pubmed/37910497 http://dx.doi.org/10.1371/journal.pdig.0000365 |