Name
Title | ||
|---|---|---|
Investigation of unsupervised pattern learning techniques for bootstrap construction of a medical treatment lexicon |
Abstract | ||
|---|---|---|
Dictionaries of biomedical concepts (e.g. diseases, medical treatments) are critical source of background knowledge for systems doing biomedical information retrieval, extraction, and automated discovery. However, the rapid pace of biomedical research and the lack of constraints on usage ensure that such dictionaries are incomplete. Focusing on medical treatment concepts (e.g. drugs, medical procedures and medical devices), we have developed an unsupervised, iterative pattern learning approach for constructing a comprehensive dictionary of medical treatment terms from randomized clinical trial (RCT) abstracts. We have investigated different methods of seeding, either with a seed pattern or seed instances (terms), and have compared different ranking methods for ranking extracted context patterns and instances. When used to identify treatment concepts from 100 randomly chosen, manually annotated RCT abstracts, our medical treatment dictionary shows better performance (precision:0.40, recall: 0.92 and F-measure: 0.54) over the most widely used manually created medical treatment terminology (precision: 0.41, recall: 0.52 and F-measure: 0.42). |
Year | Venue | Keywords |
|---|---|---|
2009 | BioNLP@HLT-NAACL | medical treatment concept,biomedical concept,medical treatment terminology,treatment concept,unsupervised pattern,medical treatment dictionary,biomedical information retrieval,medical treatment term,medical treatment,medical procedure,medical treatment lexicon,bootstrap construction,medical device,randomized clinical trial,information retrieval |
Field | DocType | Citations |
Pace,Computer science,Randomized controlled trial,Artificial intelligence,Natural language processing,Bootstrapping (electronics),Information retrieval,Terminology,Ranking,Medical treatment,Lexicon,Recall,Machine learning | Conference | 14 |
PageRank | References | Authors |
0.82 | 22 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rong Xu | 1 | 14 | 0.82 |
| Alex Morgan | 2 | 68 | 5.90 |
| Amar K. Das | 3 | 420 | 51.09 |
| Alan Garber | 4 | 14 | 0.82 |