Name
Abstract | ||
|---|---|---|
There is a huge amount of information that have been stored in electronic health records (EHR). EHR designed to store patient medical information and administrative tasks. While a lot of researchers employed these records in clinical informatics tasks. Recently, researcher's community discovered the advances of deep learning, that greatly applied to EHR. In this paper, we review deep learning concepts, technical aspects that applied on EHR. As well as, some of the recent deep learning projects in EHR with challenges. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/AICCSA.2018.8612827 | 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA) |
Keywords | Field | DocType |
deep learning,electronic health record,machine learning | Data science,Task analysis,Computer science,Computer network,Feature extraction,Artificial intelligence,Medical record,Deep learning,Health informatics | Conference |
ISSN | ISBN | Citations |
2161-5322 | 978-1-5386-9121-2 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Al-Aiad | 1 | 0 | 1.01 |
| Rehab M. Duwairi | 2 | 85 | 10.79 |
| Manar Fraihat | 3 | 0 | 0.34 |