Literature DB >> 25217971

Utilizing big data to build personalized technology and system of diagnosis and treatment in traditional Chinese medicine.

Baoyan Liu1.   

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Year:  2014        PMID： 25217971     DOI： 10.1007/s11684-014-0364-9

Source DB:  PubMed          Journal:  Front Med        ISSN： 2095-0217            Impact factor:   4.592


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  5 in total

1.  U.S. science policy. Agencies rally to tackle big data.

Authors:  Jeffrey Mervis
Journal:  Science       Date:  2012-04-06       Impact factor: 47.728

2.  Web data predict flu.

Authors:  Declan Butler
Journal:  Nature       Date:  2008-11-20       Impact factor: 49.962

3.  Challenges and opportunities of open data in ecology.

Authors:  O J Reichman; Matthew B Jones; Mark P Schildhauer
Journal:  Science       Date:  2011-02-11       Impact factor: 47.728

4.  Big data. The parable of Google Flu: traps in big data analysis.

Authors:  David Lazer; Ryan Kennedy; Gary King; Alessandro Vespignani
Journal:  Science       Date:  2014-03-14       Impact factor: 47.728

5.  Detecting influenza epidemics using search engine query data.

Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
Journal:  Nature       Date:  2009-02-19       Impact factor: 49.962
  5 in total
  2 in total

1.  Big data is essential for further development of integrative medicine.

Authors:  Guo-zheng Li; Bao-yan Liu
Journal:  Chin J Integr Med       Date:  2015-05-03       Impact factor: 1.978

Review 2.  The Research and Development Thinking on the Status of Artificial Intelligence in Traditional Chinese Medicine.

Authors:  Nan Li; Jiarui Yu; Xiaobo Mao; Yuping Zhao; Luqi Huang
Journal:  Evid Based Complement Alternat Med       Date:  2022-05-02       Impact factor: 2.650
  2 in total

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