Name
Abstract | ||
|---|---|---|
•Cohort selection requires the information across all of the patient’s health records.•MILs under the bag- and the embedded-space paradigms are generally better.•MILs generally perform better than their single instance counterpart approaches.•MIL approach is more effective in criteria requiring overall comprehension.•Other approaches perform well for criteria with unambiguous definitions. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jbi.2020.103438 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Cohort selection,Multiple instance learning,Clinical natural language processing,Electronic health records | Journal | 107 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
17 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong-Jie Dai | 1 | 1 | 2.04 |
| Feng-Duo Wang | 2 | 0 | 0.34 |
| Chih-Wei Chen | 3 | 0 | 0.34 |
| Chu-Hsien Su | 4 | 0 | 1.69 |
| Chi-Shin Wu | 5 | 0 | 1.01 |
| Jitendra Jonnagaddala | 6 | 46 | 10.28 |