Title | ||
---|---|---|
Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack. |
Abstract | ||
---|---|---|
•In the rare diseases context, clinicians look for similar patients to find new cases.•Narrative reports represent a valuable source for automated phenotyping.•VSM has been successfully used to compute similarity on narrative reports.•Adding TF-IDF features and polarity improves the VSM similarity measures. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.jbi.2017.07.016 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Data warehouse,Vector space model,Similarity measures,Rare diseases,Electronic health records | Data warehouse,Rett syndrome,Data mining,Computer science,Index case,Vector space model,Unified Medical Language System,Medical diagnosis,Dystrophic epidermolysis bullosa | Journal |
Volume | Issue | ISSN |
73 | C | 1532-0464 |
Citations | PageRank | References |
6 | 0.49 | 19 |
Authors | ||
11 |
Name | Order | Citations | PageRank |
---|---|---|---|
N Garcelon | 1 | 40 | 6.01 |
Antoine Neuraz | 2 | 16 | 4.22 |
Vincent Benoit | 3 | 12 | 1.62 |
Rémi Salomon | 4 | 13 | 1.69 |
Sven Kracker | 5 | 6 | 0.49 |
Felipe Suarez | 6 | 6 | 0.49 |
Nadia Bahi-Buisson | 7 | 6 | 0.49 |
Smail Hadj-Rabia | 8 | 6 | 0.49 |
Alain Fischer | 9 | 6 | 0.49 |
Arnold Munnich | 10 | 8 | 0.85 |
Anita Burgun | 11 | 506 | 57.91 |