Drug delivery optimization through Bayesian networks.

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6 Citations (Scopus)

Abstract

This paper describes how Bayesian Networks can be used in combination with compartmental models to plan Recombinant Human Erythropoietin (r-HuEPO) delivery in the treatment of anemia of chronic uremic patients. Past measurements of hematocrit or hemoglobin concentration in a patient during the therapy can be exploited to adjust the parameters of a compartmental model of the erythropoiesis. This adaptive process allows more accurate patient-specific predictions, and hence a more rational dosage planning. We describe a drug delivery optimization protocol, based on our approach. Some results obtained on real data are presented.

Original languageEnglish
Pages (from-to)572-578
Number of pages7
JournalProceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
Publication statusPublished - 1992

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Pharmaceutical Preparations
Erythropoiesis
Erythropoietin
Hematocrit
Anemia
Hemoglobins
Therapeutics

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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title = "Drug delivery optimization through Bayesian networks.",
abstract = "This paper describes how Bayesian Networks can be used in combination with compartmental models to plan Recombinant Human Erythropoietin (r-HuEPO) delivery in the treatment of anemia of chronic uremic patients. Past measurements of hematocrit or hemoglobin concentration in a patient during the therapy can be exploited to adjust the parameters of a compartmental model of the erythropoiesis. This adaptive process allows more accurate patient-specific predictions, and hence a more rational dosage planning. We describe a drug delivery optimization protocol, based on our approach. Some results obtained on real data are presented.",
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