Name
Abstract | ||
|---|---|---|
Electronic medical records (EMRs) store data related to patients information enrolled during their stay in health structures. Data stored into EMRs span from data crawled from biological laboratories to textual description of diseases and diagnostic device results (e.g., biomedical images). Each EMR is related to a diagnosis related group (DRG) record. A DRG record is a record associated with a ci... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JBHI.2015.2496424 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Diseases,Data mining,Unified modeling language,Pathology,Medical diagnostic imaging,Biological information theory,Semantics | Biological data,Data mining,Diagnosis code,Information retrieval,Computer science,Major Diagnostic Category,Diagnosis-related group,Medical record,Reimbursement,Cluster analysis,Disease cluster | Journal |
Volume | Issue | ISSN |
21 | 1 | 2168-2194 |
Citations | PageRank | References |
3 | 0.48 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Canino | 1 | 5 | 3.55 |
| Pietro Hiram Guzzi | 2 | 547 | 65.85 |
| Giuseppe Tradigo | 3 | 3 | 0.48 |
| Aidong Zhang | 4 | 2970 | 405.63 |
| Pierangelo Veltri | 5 | 3 | 0.48 |