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Data Analysis of Medical Records in Veterinary Hospital Using Clustering Method and Association Rule |
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PP: 3319-3326 |
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Author(s) |
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Tsung-Chih Hsiao,
Shu-Ling Shieh,
Tzer-Long Chen,
Chia-Hui Liu,
Ying-Chi Yeh,
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Abstract |
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| Since pets have been promoted from working livestock to family companions, pet industry is also progressing with the
development of nowadays? society. To reduce the negligence of the diagnostic process, the correlations between the symptoms and
treatments of sick pets are collected. Medical records of a veterinary hospital are used as the input dataset. The clustering algorithms
and association rules use two methods to investigate the practice. The result indicates that urology, dermatology or internal medicines
are highly correlated with possible symptoms. The conclusion could assist doctors to find the association rules between diseases and
symptoms of pets. In this paper, the medical records of pets are analyzed using the data mining method of Clustering Algorithm based
on Histogram Threshold (HTCA). HTCA is composed of hierarchical clustering method and Otsu?s method. Two steps are applied in
the experiments. First, we find the proper clustering by applying HTCA clustering method, and then apply the association rule to find
the impact of divisions of property. Experiment shows that, the attributes of impacting factors and to efficiently find medical records in
veterinary hospitals. |
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