A guideline to determine the training sample size when applying data mining methods in clinical decision making
碩士 === 國立中央大學 === 生醫科學與工程學系 === 107 === Background: Biomedicine is a field rich in a variety of heterogeneous, evolving, complex and unstructured data, coming from autonomous sources (i.e. heterogeneous, autonomous, complex and evolving (HACE) theorem). Acquisition of biomedical data takes time, and...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4g499k |