Name
Title | ||
|---|---|---|
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes |
Abstract | ||
|---|---|---|
•Identifying subtypes from medication trajectories requires careful preprocessing and model choice.•Longitudinal k-means methods cluster sparse and variable length trajectories.•Visualization tools like decision trees and plots can help explain clinical relevance of subtypes. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jbi.2021.103889 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Longitudinal k-means clustering,Electronic health records,Patient subtypes,Opioids,Trajectory analysis | Journal | 122 |
ISSN | Citations | PageRank |
1532-0464 | 1 | 0.48 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarah Mullin | 1 | 1 | 0.48 |
| Jaroslaw Zola | 2 | 1 | 0.48 |
| Robert Lee | 3 | 1 | 1.50 |
| Jinwei Hu | 4 | 1 | 1.50 |
| Brianne Mackenzie | 5 | 1 | 0.48 |
| Arlen Brickman | 6 | 1 | 0.48 |
| Gabriel Anaya | 7 | 1 | 0.48 |
| Shyamashree Sinha | 8 | 1 | 0.48 |
| Angie Li | 9 | 1 | 0.48 |
| Peter L. Elkin | 10 | 1 | 0.48 |