healthsea
importedsoftware/healthsea
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- explosion
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/explosion/healthsea
- Documentation
- unknown
- Tags
- healthcare · machine-learning · named-entity-recognition · natural-language-processing · pipeline · spacy · text-classification
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- dose_instruction_parsernamed-entity-recognition · natural-language-processing
Parsing prescription dose instructions using Named Entity Recognition and rules
- PICO_Parsernamed-entity-recognition · natural-language-processing
A clinical BERT-based NLP tool for parsing clinical trial abstracts following the PICO framework
- EpiTatorspacy
EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.
- injury-autocodingtext-classification
An ensemble of BERTs for classifying injury narratives
- scispacyspacy
A full spaCy pipeline and models for scientific/biomedical documents.
- MultiBenchhealthcare · natural-language-processing
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
- api.github.com/repos/explosion/healthsearetrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-12-08, 90 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/6.json→ .entries["healthsea"]
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