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Accurate cirrhosis identification with wrist-pulse data for mobile healthcare.

, , , , , , , and . mHealthSys@SenSys, page 6:1-6:6. ACM, (2012)

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Deep Convolutional Neural Networks for Classifying Body Constitution., , , and . ICANN (2), volume 9887 of Lecture Notes in Computer Science, page 128-135. Springer, (2016)Signals analysis of pulse-diagnosis in TCM by the combination of unsupervised learning and supervised learning., , , , , , , , , and . BIBM Workshops, page 295-298. IEEE Computer Society, (2012)Fuzzy feature for traditional Chinese medical pulse data., , , and . BODYNETS, page 145-148. ICST / ACM, (2012)EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system., , , , , , , , and . SenSys, page 149-161. ACM, (2011)Accurate cirrhosis identification with wrist-pulse data for mobile healthcare., , , , , , , and . mHealthSys@SenSys, page 6:1-6:6. ACM, (2012)Preliminary study on diurnal variation of pulse signals in TCM., , , , , , , and . BIBM, page 170-172. IEEE Computer Society, (2014)Comparative study of pulse-diagnosis signals between 2 kinds of liver disease patients based on the combination of unsupervised learning and supervised learning., , , , , , , , and . BIBM, page 260-262. IEEE Computer Society, (2013)Research of features in the pulse waves of women during pregnancy., , , , , , , , , and . BIBM Workshops, page 730-732. IEEE, (2010)