Literature DB >> 27750400

Introducing the Big Knowledge to Use (BK2U) challenge.

Yehoshua Perl1, James Geller1, Michael Halper2, Christopher Ochs1, Ling Zheng1, Joan Kapusnik-Uner3.   

Abstract

The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK), how can it be used properly and creatively? We call this secondary challenge, Big Knowledge to Use. Without a high-level mental representation of the kinds of knowledge in a BK knowledgebase, effective or innovative use of the knowledge may be limited. We describe summarization and visualization techniques that capture the big picture of a BK knowledgebase, possibly created from Big Data. In this research, we distinguish between assertion BK and rule-based BK (rule BK) and demonstrate the usefulness of summarization and visualization techniques of assertion BK for clinical phenotyping. As an example, we illustrate how a summary of many intracranial bleeding concepts can improve phenotyping, compared to the traditional approach. We also demonstrate the usefulness of summarization and visualization techniques of rule BK for drug-drug interaction discovery.
© 2016 New York Academy of Sciences.

Entities:  

Keywords:  Big Data; Big Knowledge; clinical phenotyping; drug-drug interactions; summarization of knowledge; visualization of knowledge

Mesh:

Substances:

Year:  2016        PMID: 27750400      PMCID: PMC5266662          DOI: 10.1111/nyas.13225

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  44 in total

Review 1.  Drug interactions in cancer therapy.

Authors:  Charity D Scripture; William D Figg
Journal:  Nat Rev Cancer       Date:  2006-07       Impact factor: 60.716

2.  Analysis of error concentrations in SNOMED.

Authors:  Michael Halper; Yue Wang; Hua Min; Yan Chen; George Hripcsak; Yehoshua Perl; Kent A Spackman
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

3.  New abstraction networks and a new visualization tool in support of auditing the SNOMED CT content.

Authors:  James Geller; Christopher Ochs; Yehoshua Perl; Junchuan Xu
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

4.  Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.

Authors:  Christopher Ochs; Yehoshua Perl; James Geller; Michael Halper; Huanying Gu; Yan Chen; Gai Elhanan
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

5.  Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.

Authors:  Christopher Ochs; Zhe He; Ling Zheng; James Geller; Yehoshua Perl; George Hripcsak; Mark A Musen
Journal:  J Biomed Inform       Date:  2016-03-14       Impact factor: 6.317

6.  Pharmacoepidemiologic study of potential drug interactions in outpatients of a university hospital in Thailand.

Authors:  B Janchawee; W Wongpoowarak; T Owatranporn; V Chongsuvivatwong
Journal:  J Clin Pharm Ther       Date:  2005-02       Impact factor: 2.512

7.  Clinical drug interactions in outpatients of a university hospital in Thailand.

Authors:  B Janchawee; T Owatranporn; W Mahatthanatrakul; V Chongsuvivatwong
Journal:  J Clin Pharm Ther       Date:  2005-12       Impact factor: 2.512

Review 8.  Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.

Authors:  Yue Wang; Michael Halper; Duo Wei; Huanying Gu; Yehoshua Perl; Junchuan Xu; Gai Elhanan; Yan Chen; Kent A Spackman; James T Case; George Hripcsak
Journal:  J Biomed Inform       Date:  2011-09-01       Impact factor: 6.317

9.  A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Mark A Musen
Journal:  J Biomed Inform       Date:  2016-06-23       Impact factor: 6.317

10.  Overview and utilization of the NCI thesaurus.

Authors:  Gilberto Fragoso; Sherri de Coronado; Margaret Haber; Frank Hartel; Larry Wright
Journal:  Comp Funct Genomics       Date:  2004
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  1 in total

1.  Visual comprehension and orientation into the COVID-19 CIDO ontology.

Authors:  Ling Zheng; Yehoshua Perl; Yongqun He; Christopher Ochs; James Geller; Hao Liu; Vipina K Keloth
Journal:  J Biomed Inform       Date:  2021-07-02       Impact factor: 8.000

  1 in total

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