Name
Title | ||
|---|---|---|
Predicting Severe Clinical Events by Learning about Life-Saving Actions and Outcomes using Distant Supervision. |
Abstract | ||
|---|---|---|
•The proposed method derives a disease risk prediction model with minimum human intervention.•Likelihood of receiving relevant interventions agrees with the risk of target disease onset.•Clinical intervention onsets could be used as a pseudo label for the disease risk prediction model. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jbi.2020.103425 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Machine learning,Acute organ failure prediction,Early warning scores,Distant supervision,Failure to rescue | Journal | 107 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dae Hyun Lee | 1 | 0 | 0.68 |
| Meliha Yetisgen-Yildiz | 2 | 328 | 34.25 |
| Lucy Vanderwende | 3 | 1051 | 79.54 |
| Eric Horvitz | 4 | 9402 | 1058.25 |