摘要
The analytical results induced fifteen representative frequent patterns, these frequent patterns are consists with physicians domain knowledge, and are found very helpful to the existing clinical treatments. Furthermore, compared to the traditional Apriori algorithm, extra 3 to 4 frequent patterns are found via our proposed analysis architecture on average. In additional, compared the performance of stand-alone and map reduce architecture of the proposed architecture, the implementation of our proposed method with three reduces was 12.3% faster in terms of the implementation-time efficiency. Our method may prove extremely helpful in improving doctor-patient relationships and overall health care quality.
| 原文 | English |
|---|---|
| 頁(從 - 到) | 1399-1408 |
| 頁數 | 10 |
| 期刊 | Journal of Medical Imaging and Health Informatics |
| 卷 | 7 |
| 發行號 | 6 |
| DOIs | |
| 出版狀態 | Published - 10月 2017 |
文獻附註
Publisher Copyright:© 2017 American Scientific Publishers All rights reserved.
指紋
深入研究「Is a medical examination necessary? analysis of medical examination transactions through association mining using multiple minimum supports」主題。共同形成了獨特的指紋。引用此
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