Name
Abstract | ||
|---|---|---|
Sequential diagnosis prediction on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in the medical domain. EHR data, sequential records of a patient’s interactions with healthcare systems, has numerous inherent characteristics of temporality, irregularity and data insufficiency. Some recent works train healthcare predictive models by making use of sequential info... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDM51629.2021.00060 | 2021 IEEE International Conference on Data Mining (ICDM) |
Keywords | DocType | ISSN |
Codes,Predictive models,Ordinary differential equations,Ontologies,Transformers,Data models,Mathematical models | Conference | 1550-4786 |
ISBN | Citations | PageRank |
978-1-6654-2398-4 | 0 | 0.34 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueping Peng | 1 | 27 | 5.92 |
| Guodong Long | 2 | 655 | 47.27 |
| Tao Shen | 3 | 4 | 2.09 |
| Sen Wang | 4 | 477 | 37.24 |
| Jing Jiang | 5 | 130 | 19.52 |