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  History Distribution Matching Method for Predicting Effectiveness of HIV Combination Therapies

Bogojeska, J. (2011). History Distribution Matching Method for Predicting Effectiveness of HIV Combination Therapies. In J. Shawe-Taylor, R. S. Zemel, P. Bartlett, F. Pereira, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 24 (pp. 424-432). La Jolla, CA: NIPS Foundation.

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Genre: Conference Paper
Latex : History Distribution Matching Method for Predicting Effectiveness of {HIV} Combination Therapies

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 Creators:
Bogojeska, Jasmina1, Author           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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 Abstract: This paper presents an approach that predicts the effectiveness of HIV combination therapies by simultaneously addressing several problems affecting the available HIV clinical data sets: the different treatment backgrounds of the samples, the uneven representation of the levels of therapy experience, the missing treatment history information, the uneven therapy representation and the unbalanced therapy outcome representation. The computational validation on clinical data shows that, compared to the most commonly used approach that does not account for the issues mentioned above, our model has significantly higher predictive power. This is especially true for samples stemming from patients with longer treatment history and samples associated with rare therapies. Furthermore, our approach is at least as powerful for the remaining samples.

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Language(s): eng - English
 Dates: 2011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 618814
URI: http://books.nips.cc/papers/files/nips24/NIPS2011_0316.pdf
Other: Local-ID: C125673F004B2D7B-5AEE1AD9F23246E7C125797500392E26-Bogojeska2011
 Degree: -

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Title: Twenty-Fifth Annual Conference on Neural Information Processing Systems
Place of Event: Granada, Spain
Start-/End Date: 2011-12-12 - 2011-12-15

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Title: Advances in Neural Information Processing Systems 24
  Abbreviation : NIPS 2011
Source Genre: Proceedings
 Creator(s):
Shawe-Taylor, John1, Editor
Zemel, Richard S.1, Editor
Bartlett, Peter1, Editor
Pereira, Fernando1, Editor
Weinberger, Kilian Q.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: La Jolla, CA : NIPS Foundation
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 424 - 432 Identifier: -