三次元人體掃描與健康檢查生化資料之資料探勘－利用倒傳遞網路

Data Mining for Three-Dimensional Body Surface and Biochemical Data Trough Back-Propagation Neural Network

邱文科(W. K. Chiou) ； 林裕埕(Y. C. Chen) ； 楊健炘(C. H. Yang)

《人因工程學刊》 7卷1期 (2005/03) Pp. 1-7

https://doi.org/10.6273/JES.2005.7(1).01

摘要

人體的體型資料可與健康檢查的生化資料結合，分析出體型與疾病間的關係，有助於預防疾病的發生，以滿足國人對醫療品質的要求及提高醫療診斷之效率。本文利用三次元人體掃描系統所量測之三次元體型資料及健康檢查所測得的生化資料，以人工智慧的神經網路找到最佳的網路架構及影響性高的變數，雖然新模型相較於舊模型的解釋能力稍弱，但是若能夠以較少的體型資料去解釋生化資料上的變化，對於醫學資料蒐集上，可能對於減少蒐集資料的成本及其相關花費。

關鍵字

三次元人體掃瞄 ； 資料探勘 ； 人工智慧 ； 倒傳遞類神經網路

並列摘要

Combining the body size data and the biochemical data can help us to analyze the relationships between 'body size' and 'disease'. After that, a good diagnosis function by correctly preventing disease and high efficiency of diagnosis would satisfied with people who in therapy service. The aim of this study is to find an optimum structure to explain the relationships between 'body size' and 'disease' by data mining techniques. The data measured by the three-dimension (3D) body scanner and the biochemical data of health examination. The data mining method used back-propagation (BP) from neural network of artificial intelligence. BP would reduce some unimportant factors and conduct a new structure. Although the root mean square error (RMSE) is rather inferior to previous one, its module relation level is still more than 90%. As well as we can decrease the cost while collect medicine data.

並列關鍵字

3D Whole Body Scanning ； Data Mining ； Artificial Intelligence ； Back-Propagation Neural Network