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Titlebook: Health Information Science; 7th International Co Siuly Siuly,Ickjai Lee,Wei Xiang Conference proceedings 2018 Springer Nature Switzerland A

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Shanshan Liu,Xiaoyi Pan,Boyu Chen,Dongfa Gao,Tianyong Hao
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Sudha Subramani,Sandra Michalska,Hua Wang,Frank Whittaker,Benjamin Heyward
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0302-9743 alization and artificial intelligence for computer aided diagnosis; development of new architectures andapplications for health information systems..978-3-030-01077-5978-3-030-01078-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Decision Making for Traditional Chinese Medicine Based on Fuzzy Cognitive Mapupport decision making for TCM. The approach is evaluated through a case study based on the TCM treatment of common cold. It is clearly shown that the FCM-based approach can provide improvements in the efficiency and precision of decision making for TCM doctors.
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Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseasesation experiments are conducted to test the performance of each feature selection algorithm, and the ensemble model. Experimental results demonstrate that the ensemble model has got the best accuracy. Its highest and average classification accuracy in 5-fold cross validation experiments are 100% and 98.31%, respectively.
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