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DEA-based anti-HIV immunotherapy model.

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Title: DEA-based anti-HIV immunotherapy model.
Authors: Fuping, Bian1,2 fpbian@public.tpt.tj.cn, Liying, Cul1,2, Lessner, Lawrence3
Source: Progress in Natural Science. Sep2004, Vol. 14 Issue 9, p828-832. 5p.
Subjects: Immunotherapy, Therapeutics, Linear programming, Multivariate analysis, Differential equations, Data envelopment analysis
Abstract: An application of Data Envelopment Analysis (DEA) to anti-HIV immunotherapy is first reported. DEA models are utilized to describe the drug treatment strategies. And the efficiency of the strategies is explored. Two prediction models are constructed respectively according to the given inputs and the given outputs. All models are solved numerically using the linear program (LP), which has the advantage over the differential equation models. [ABSTRACT FROM AUTHOR]
Copyright of Progress in Natural Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 15513434
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: DEA-based anti-HIV immunotherapy model.
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  Data: <searchLink fieldCode="AR" term="%22Fuping%2C+Bian%22">Fuping, Bian</searchLink><relatesTo>1,2</relatesTo><i> fpbian@public.tpt.tj.cn</i><br /><searchLink fieldCode="AR" term="%22Liying%2C+Cul%22">Liying, Cul</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lessner%2C+Lawrence%22">Lessner, Lawrence</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Progress+in+Natural+Science%22">Progress in Natural Science</searchLink>. Sep2004, Vol. 14 Issue 9, p828-832. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Immunotherapy%22">Immunotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Therapeutics%22">Therapeutics</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+programming%22">Linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Differential+equations%22">Differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Data+envelopment+analysis%22">Data envelopment analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: An application of Data Envelopment Analysis (DEA) to anti-HIV immunotherapy is first reported. DEA models are utilized to describe the drug treatment strategies. And the efficiency of the strategies is explored. Two prediction models are constructed respectively according to the given inputs and the given outputs. All models are solved numerically using the linear program (LP), which has the advantage over the differential equation models. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Progress in Natural Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10020070412331344401
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      – Code: eng
        Text: English
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      – SubjectFull: Immunotherapy
        Type: general
      – SubjectFull: Therapeutics
        Type: general
      – SubjectFull: Linear programming
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Differential equations
        Type: general
      – SubjectFull: Data envelopment analysis
        Type: general
    Titles:
      – TitleFull: DEA-based anti-HIV immunotherapy model.
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            NameFull: Fuping, Bian
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            NameFull: Liying, Cul
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              M: 09
              Text: Sep2004
              Type: published
              Y: 2004
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              Value: 9
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            – TitleFull: Progress in Natural Science
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