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add medspacy to universe and fix example w/ cov-bsv

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Alec Chapman 2020-10-29 07:53:56 -06:00 committed by Ines Montani
parent e4c3d6748c
commit 8b919d77c1
1 changed files with 30 additions and 1 deletions
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31
website/meta/universe.json
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@ -2536,7 +2536,7 @@
"import cov_bsv",
"",
"nlp = cov_bsv.load()",
"text = 'Pt tested for COVID-19. His wife was recently diagnosed with novel coronavirus. SARS-COV-2: Detected'",
"doc = nlp('Pt tested for COVID-19. His wife was recently diagnosed with novel coronavirus. SARS-COV-2: Detected')",
"",
"print(doc.ents)",
"print(doc._.cov_classification)",
@ -2548,6 +2548,35 @@
"author_links": {
"github": "abchapman93"
}
},
{
"id": "medspacy",
"title": "medspaCy",
"thumb": "https://github.com/medspacy/medspacy/blob/master/images/medspacy_logo.png",
"slogan": "A toolkit for clinical NLP with spaCy.",
"github": "medspacy/medspacy",
"description": "A toolkit for clinical NLP with spaCy. Features include sentence splitting, section detection, and asserting negation, family history, and uncertainty.",
"pip": "medspacy",
"code_example": [
"import medspacy",
"from medspacy.ner import TargetRule",
"",
"nlp = medspacy.load()",
"print(nlp.pipe_names)",
"",
"nlp.get_pipe('target_matcher').add([TargetRule('stroke', 'CONDITION'), TargetRule('diabetes', 'CONDITION'), TargetRule('pna', 'CONDITION')])",
"doc = nlp('Patient has hx of stroke. Mother diagnosed with diabetes. No evidence of pna.')",
"",
"for ent in doc.ents:",
" print(ent, ent._.is_negated, ent._.is_family, ent._.is_historical)",
"medspacy.visualization.visualize_ent(doc)"
],
"category": ["biomedical", "scientific", "research"],
"tags": ["clinical"],
"author": "medspacy",
"author_links": {
"github": "medspacy"
}
},
{
"id": "rita-dsl",