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. 2020 Jul 7;9:e58227. doi: 10.7554/eLife.58227

Figure 1. Augmented curation of the unstructured clinical notes and comparison of symptoms between COVIDpos vs. COVIDneg patients.

(a) Augmented curation of the unstructured clinical notes from Electronic Health Records (EHRs). (b) COVID-19-related symptom entity recognition, sentiment analysis and grouping of synonyms. (c) Comparison of symptoms extracted from EHR clinical notes of COVIDpos vs. COVIDneg patients.

Figure 1.

Figure 1—figure supplement 1. SciBERT Architecture and Training Configuration.

Figure 1—figure supplement 1.

Figure 1—figure supplement 2. Examples of Sentence Classification Used in Training a SciBERT Model for Phenotype/Symptom Sentiment Analysis.

Figure 1—figure supplement 2.