Synchronous low grade endometrioid endometrial and ovarian cancer: Focus on therapeutic de-escalation proposed by the latest 2020 ESMO/ESTRO/ESP guidelines - Sorbonne Université Access content directly
Journal Articles Journal of Gynecology Obstetrics and Human Reproduction Year : 2022

Synchronous low grade endometrioid endometrial and ovarian cancer: Focus on therapeutic de-escalation proposed by the latest 2020 ESMO/ESTRO/ESP guidelines

Abstract

Medical reports are key elements to guarantee the quality, and continuity of care but their quality remains an issue. Standardization and structuration of reports can increase their quality, but are usually based on expert opinions. Here, we hypothesize that a structured model of medical reports could be learnt using machine learning on retrospective medical reports extracted from clinical data warehouses (CDW). To investigate our hypothesis, we extracted breast cancer operative reports from our CDW. Each document was preprocessed and split into sentences. Clustering was performed using TFIDF, Paraphrase or Universal Sentence Encoder along with K-Means, DBSCAN, or Hierarchical clustering. The best couple was TFIDF/K-Means, providing a sentence coverage of 89 % on our dataset; and allowing to identify 7 main categories of items to include in breast cancer operative reports. These results are encouraging for a document preset creation task and should then be validated and implemented in real life.

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Cancer
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Dates and versions

hal-03907010 , version 1 (19-12-2022)

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Thomas Dabreteau, Meriem Koual, Nicolas Delanoy, Catherine Durdux, Enrica Bentivegna, et al.. Synchronous low grade endometrioid endometrial and ovarian cancer: Focus on therapeutic de-escalation proposed by the latest 2020 ESMO/ESTRO/ESP guidelines. Journal of Gynecology Obstetrics and Human Reproduction, 2022, Studies in Health Technology and Informatics, 51 (7), pp.102413. ⟨10.1016/j.jogoh.2022.102413⟩. ⟨hal-03907010⟩
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