Literature DB >> 9787619

Computer-based decision support in the management of primary gastric non-Hodgkin lymphoma.

P J Lucas1, H Boot, B G Taal.   

Abstract

Primary non-Hodgkin lymphoma of the stomach is a rare disorder for which clinical management has not yet been settled completely. Faced with the many uncertainties associated with the selection of a treatment for a patient with this disorder, it is difficult to determine the treatment that is optimal for the patient, as well as the prognosis to be expected. The development of a decision-theoretic model of non-Hodgkin lymphoma of the stomach is described. The model aims to assist the clinician in exploring various clinical questions, among others questions concerning prognosis and optimal treatment. Central to the model is a probabilistic network that offers an explicit representation of the uncertainties underlying the decision-making process. The model has been incorporated in a decision-support system. Preliminary evaluation results indicate that the performance of the model in its present form matches the performance of experienced clinicians.

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Year:  1998        PMID: 9787619

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model.

Authors:  Wade P Smith; Jason Doctor; Jürgen Meyer; Ira J Kalet; Mark H Phillips
Journal:  Artif Intell Med       Date:  2009-01-20       Impact factor: 5.326

2.  Predicting severity of pathological scarring due to burn injuries: a clinical decision making tool using Bayesian networks.

Authors:  Paola Berchialla; Ezio Nicola Gangemi; Francesca Foltran; Arber Haxhiaj; Alessandra Buja; Fulvio Lazzarato; Maurizio Stella; Dario Gregori
Journal:  Int Wound J       Date:  2012-09-07       Impact factor: 3.315

3.  Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.

Authors:  Cilia L M Witteman; Silja Renooij; Pieter Koele
Journal:  BMC Med Inform Decis Mak       Date:  2007-06-11       Impact factor: 2.796

4.  Bayesian networks for clinical decision support in lung cancer care.

Authors:  M Berkan Sesen; Ann E Nicholson; Rene Banares-Alcantara; Timor Kadir; Michael Brady
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

  4 in total

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