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Natural Language Processing with Machine Learning to Predict Outcomes after Ovarian Cancer Surgery
OBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured full text documents (a preoperative CT scan) improves the ability to predict postoperative complication and hospital readmission among women with ovarian cancer undergoing surgery when compared with di...
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| Pubblicato in: | Gynecol Oncol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7779704/ https://ncbi.nlm.nih.gov/pubmed/33069375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ygyno.2020.10.004 |
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