An Automatic Clinical Model for Chinese Medicine Based on Interpretable Machine Learning Algorithms

Author:

Gong Houwu,Jin Min,Zhou Liang,Chen Heng,Zhang Lin,Liu Yu

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference16 articles.

1. Identifying potential treatments of COVID-19 from Traditional Chinese Medicine (TCM) by using a data-driven approach[J];xia;Journal of Ethnopharmacology,2020

2. A unified intelligent model for estimating the (gas + n-alkane) interfacial tension based on the eXtreme gradient boosting (XGBoost) trees

3. An Interpretable Prediction Model for Identifying N 7-Methylguanosine Sites Based on XGBoost and SHAP[J];yue;Mol Therapy – Nucleic Acids,2020

4. Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.[J];quan;Journal of Cancer Research and Clinical Oncology,2020

5. Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

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