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APPLYING ARTIFICIAL NETWORKS TO DEEP LEARNING AND PREDICTIVE ANALYSIS IN SEMANTIC TCM TELEMEDICINE S...

APPLYING ARTIFICIAL NETWORKS TO DEEP LEARNING AND PREDICTIVE ANALYSIS IN SEMANTIC TCM TELEMEDICINE S...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1897745147

APPLYING ARTIFICIAL NETWORKS TO DEEP LEARNING AND PREDICTIVE ANALYSIS IN SEMANTIC TCM TELEMEDICINE SYSTEMS

About this item

Full title

APPLYING ARTIFICIAL NETWORKS TO DEEP LEARNING AND PREDICTIVE ANALYSIS IN SEMANTIC TCM TELEMEDICINE SYSTEMS

Publisher

Huttington: Nova Science Publishers, Inc

Journal title

International journal of computer research, 2016-07, Vol.23 (3), p.319

Language

English

Formats

Publication information

Publisher

Huttington: Nova Science Publishers, Inc

More information

Scope and Contents

Contents

The study aims to establish a deep learning and predictive model in the semantic TCM telemedicine system using Artificial Neural Network Microsoft Azure Machine Learning. In Chinese Medicine diagnosis, four examination methods: Questioning/history taking, inspection, auscultation (listening) and olfaction (smelling), and palpation. Deep learning is...

Alternative Titles

Full title

APPLYING ARTIFICIAL NETWORKS TO DEEP LEARNING AND PREDICTIVE ANALYSIS IN SEMANTIC TCM TELEMEDICINE SYSTEMS

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1897745147

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1897745147

Other Identifiers

ISSN

1535-6698

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