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Artificial Intelligence Clinical Evidence Engine for Automatic Identification, Prioritization, and Extraction of Relevant Clinical Oncology Research
We developed a system to automate analysis of the clinical oncology scientific literature from bibliographic databases and match articles to specific patient cohorts to answer specific questions regarding the efficacy of a treatment. The approach attempts to replicate a clinician’s mental processes...
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| Publicado no: | JCO Clin Cancer Inform |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Clinical Oncology
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8140792/ https://ncbi.nlm.nih.gov/pubmed/33439724 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.20.00087 |
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