Literature DB >> 8130501

Data explorer: a prototype expert system for statistical analysis.

C Aliferis1, E Chao, G F Cooper.   

Abstract

The inadequate analysis of medical research data, due mainly to the unavailability of local statistical expertise, seriously jeopardizes the quality of new medical knowledge. Data Explorer is a prototype Expert System that builds on the versatility and power of existing statistical software, to provide automatic analyses and interpretation of medical data. The system draws much of its power by using belief network methods in place of more traditional, but difficult to automate, classical multivariate statistical techniques. Data Explorer identifies statistically significant relationships among variables, and using power-size analysis, belief network inference/learning and various explanatory techniques helps the user understand the importance of the findings. Finally the system can be used as a tool for the automatic development of predictive/diagnostic models from patient databases.

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Year:  1993        PMID: 8130501      PMCID: PMC2248537     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  3 in total

1.  The Lancet's statistical review process: areas for improvement by authors.

Authors:  S M Gore; G Jones; S G Thompson
Journal:  Lancet       Date:  1992-07-11       Impact factor: 79.321

2.  An introduction to a Bayesian method for meta-analysis: The confidence profile method.

Authors:  D M Eddy; V Hasselblad; R Shachter
Journal:  Med Decis Making       Date:  1990 Jan-Mar       Impact factor: 2.583

3.  The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials.

Authors:  J A Freiman; T C Chalmers; H Smith; R R Kuebler
Journal:  N Engl J Med       Date:  1978-09-28       Impact factor: 91.245

  3 in total

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