Name
Abstract | ||
|---|---|---|
Over-treatments such as high medicine fees, repeated physical examinations, overuse of antibiotics and hormones are very common in some hospitals in China. In order to reduce these over-treatment phenomena, two multidimensional data analysis methods are used to analyze historical medical data in this paper. Then, for different situations of outpatients and inpatients, the best treatment cases for recommendation and the worst treatment cases to avoid are found out by using two algorithms based on the Skyline operator to sort multidimensional historical medical data. The results provide patients with appropriate prescriptions and provide doctors with reasonable recommendations of treatments. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IEEM.2018.8607324 | 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) |
Keywords | Field | DocType |
Medical Data, Multidimensional Data Analysis, Skyline operator | Skyline,Multidimensional analysis,sort,Operations research,Sorting,Operator (computer programming),Engineering,Operations management,Medical prescription | Conference |
ISSN | Citations | PageRank |
2157-3611 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Che | 1 | 0 | 0.34 |
| Liya Wang | 2 | 0 | 1.35 |
| Z. B. Jiang | 3 | 242 | 36.08 |