Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes

Volume: 11, Issue: 2, Pages: 865 - 865
Published: Jan 19, 2021
Abstract
Despite efforts to develop models for extracting medical concepts from clinical notes, there are still some challenges in particular to be able to relate concepts to dates. The high number of clinical notes written for each single patient, the use of negation, speculation, and different date formats cause ambiguity that has to be solved to reconstruct the patient’s natural history. In this paper, we concentrate on extracting from clinical...
Paper Details
Title
Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes
Published Date
Jan 19, 2021
Volume
11
Issue
2
Pages
865 - 865
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