Name
Title | ||
|---|---|---|
Two data-driven approaches to identifying the spectrum of problematic opioid use: A pilot study within a chronic pain cohort |
Abstract | ||
|---|---|---|
•Data-driven methods are useful for detecting subtle signs of problematic opioid use.•Combined administrative and clinical text data exceeds single data performance.•Opioid use disorder is amenable to characterization along a continuum.•This data-driven phenotyping is transferable to other settings and clinical outcomes. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ijmedinf.2021.104621 | International Journal of Medical Informatics |
Keywords | DocType | Volume |
Opioid use disorder,Electronic health records,Chronic pain,Natural language processing,Phenome-wide association study | Journal | 156 |
ISSN | Citations | PageRank |
1386-5056 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lori Schirle | 1 | 0 | 0.34 |
| Alvin Jeffery | 2 | 0 | 0.34 |
| Ali Yaqoob | 3 | 0 | 0.34 |
| Sandra Sanchez-Roige | 4 | 0 | 0.34 |
| David C. Samuels | 5 | 18 | 6.68 |