
doi: 10.1109/iacc.2016.54
This paper predicts the Diabetes Disease based on Data Mining Techniques of Classification Algorithms. Classification Algorithm and tools may reduce heavy work on Doctors. In this paper Evaluated as Classification Algorithms for the Classify of some Diabetes Disease Patient Datasets. Data Mining is one of the main Algorithm is Classification. Classification Algorithm Examine of the Decision Tree Algorithm, Byes Algorithm and Rule based Algorithm. These algorithms are evaluate Error Rates and identify of the patients based evolution Function of the measure the accurate results.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
