Literature DB >> 8325005

RESUME: a temporal-abstraction system for patient monitoring.

Y Shahar1, M A Musen.   

Abstract

RESUME is a system that performs temporal abstraction of time-stamped data. The temporal-abstraction task is crucial for planning treatment, for executing treatment plans, for identifying clinical problems, and for revising treatment plans. The RESUME system is based on a model of three basic temporal-abstraction mechanisms: point temporal abstraction, a mechanism for abstracting the values of several parameters into a value of another parameter; temporal inference, a mechanism for inferring sound logical conclusions over a single interval or two meeting intervals; and temporal interpolation, a mechanism for bridging nonmeeting temporal intervals. Making explicit the knowledge required for temporal abstraction supports the acquisition and the sharing of that knowledge. We have implemented the RESUME system using the CLIPS knowledge-representation shell. The RESUME system emphasizes the need for explicit representation of temporal-abstraction knowledge, and the advantages of modular, task-specific but domain-independent architectures for building medical knowledge-based systems.

Entities:  

Mesh:

Year:  1993        PMID: 8325005     DOI: 10.1006/cbmr.1993.1018

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  15 in total

1.  Applying temporal joins to clinical databases.

Authors:  M J O'Connor; S W Tu; M A Musen
Journal:  Proc AMIA Symp       Date:  1999

2.  Representation of temporal indeterminacy in clinical databases.

Authors:  M J O'Connor; S W Tu; M A Musen
Journal:  Proc AMIA Symp       Date:  2000

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.  Timing is everything. Time-oriented clinical information systems.

Authors:  Y Shahar; C Combi
Journal:  West J Med       Date:  1998-02

5.  A temporal analysis of QMR.

Authors:  C F Aliferis; G F Cooper; R A Miller; B G Buchanan; R Bankowitz; N Giuse
Journal:  J Am Med Inform Assoc       Date:  1996 Jan-Feb       Impact factor: 4.497

6.  Knowledge acquisition for temporal abstraction.

Authors:  A Stein; M A Musen; Y Shahar
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

7.  Modeling the temporal complexities of symptoms.

Authors:  R H Dolin
Journal:  J Am Med Inform Assoc       Date:  1995 Sep-Oct       Impact factor: 4.497

8.  Representing hospital events as complex conditionals.

Authors:  G J Kuperman; J M Teich; D W Bates; J McLatchey; T G Hoff
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

9.  Querying temporal clinical databases with different time granularities: the GCH-OSQL language.

Authors:  C Combi; F Pinciroli; M Cavallaro; G Cucchi
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

10.  Creating temporal abstractions in three clinical information systems.

Authors:  M G Kahn; K A Marrs
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995
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