Name
Title | ||
|---|---|---|
EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders – chronic kidney disease example |
Abstract | ||
|---|---|---|
•Integration of disease knowledge and EHR data.•Extraction of phenotypic abnormality as fine-grained conditions and their progression.•Data-driven approach of unlocking clinical texts.•Clinical inference based on causality of medical conditions. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jbi.2021.103692 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Knowledge base,Electronic health record,Chronic kidney disease,Natural language processing,Machine learning | Journal | 115 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojun Ma | 1 | 0 | 0.34 |
| Takeshi Imai | 2 | 20 | 3.73 |
| Emiko Y. Shinohara | 3 | 1 | 2.76 |
| Satoshi Kasai | 4 | 0 | 0.34 |
| Kosuke Kato | 5 | 0 | 0.34 |
| Rina Kagawa | 6 | 0 | 0.34 |
| Kazuhiko Ohe | 7 | 115 | 15.91 |