Evaluating the use of different machine learning techniques to predict traditional Chinese medicine diagnosis
Traditional Chinese Medicine (TCM) diagnostic features uses patient perceptions which can aid in the development of robust diagnostic tools. We explored the information value of these features by modelling the TCM diagnostic process with machine learning, namely decision tree, random forest, and mul...
第一著者: | Kon, Wen Xuan |
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その他の著者: | Goh Wen Bin Wilson |
フォーマット: | Final Year Project (FYP) |
言語: | English |
出版事項: |
Nanyang Technological University
2021
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主題: | |
オンライン・アクセス: | https://hdl.handle.net/10356/152316 |
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