Literature DB >> 7581622

Architectures for intelligent systems based on reusable components.

M A Musen, A T Schreiber.   

Abstract

Mesh：

Year:  1995        PMID： 7581622     DOI： 10.1016/0933-3657(95)00003-o

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN： 0933-3657            Impact factor:   5.326


× No keyword cloud information.
  7 in total

Review 1.  Integration and beyond: linking information from disparate sources and into workflow.

Authors:  W W Stead; R A Miller; M A Musen; W R Hersh
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

2.  BrainImageJ: a Java-based framework for interoperability in neuroscience, with specific application to neuroimaging.

Authors:  Y R Ng; S Shiffman; T J Brosnan; J M Links; L S Beach; N S Judge; Y Xu; U V Kelkar; A L Reiss
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

3.  EON: a component-based approach to automation of protocol-directed therapy.

Authors:  M A Musen; S W Tu; A K Das; Y Shahar
Journal:  J Am Med Inform Assoc       Date:  1996 Nov-Dec       Impact factor: 4.497

Review 4.  Modern architectures for intelligent systems: reusable ontologies and problem-solving methods.

Authors:  M A Musen
Journal:  Proc AMIA Symp       Date:  1998

5.  Software-engineering challenges of building and deploying reusable problem solvers.

Authors:  Martin J O'Connor; Csongor Nyulas; Samson Tu; David L Buckeridge; Anna Okhmatovskaia; Mark A Musen
Journal:  Artif Intell Eng Des Anal Manuf       Date:  2009-11       Impact factor: 1.671

6.  OWLing Clinical Data Repositories With the Ontology Web Language.

Authors:  Raimundo Lozano-Rubí; Xavier Pastor; Esther Lozano
Journal:  JMIR Med Inform       Date:  2014-08-01

7.  PHSkb: a knowledgebase to support notifiable disease surveillance.

Authors:  Timothy J Doyle; Haobo Ma; Samuel L Groseclose; Richard S Hopkins
Journal:  BMC Med Inform Decis Mak       Date:  2005-08-16       Impact factor: 2.796
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.