Data Science Research (DSR) n2c2

Getting Started

1. n2c2 Website: https://n2c2.dbmi.hms.harvard.edu/2022-track-1
2. Spacy Linguistic Features: https://spacy.io/usage/linguistic-features
3. Spacy EntityRecognizer: https://spacy.io/api/entityrecognizer
4. Skweak: Weak Supervsion for NLP: https://github.com/NorskRegnesentral/skweak
5. RxNorm format: https://www.nlm.nih.gov/research/umls/rxnorm/docs/techdoc.html#s12_0
6. Medical Abbr: https://www.drugs.com/article/prescription-abbreviations.html
7. neo4j graph database: https://neo4j.com/product/neo4j-graph-database/
8. Spacy NLP to Extract graph: https://github.com/cj2001/nodes2021_kg_workshop/blob/main/notebooks/00-populate_basic_graph.ipynb
9. Kaggle NER data: https://www.kaggle.com/abhinavwalia95/entity-annotated-corpus
10. NER BiLSTM-CRF implementation: https://github.com/quocdat32461997/NER
11. NER BiLSTM-CRF implementation Chinese: https://github.com/Gxzzz/BiLSTM-CRF
12. brat annotation tool: https://brat.nlplab.org/