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Author, Editor

Author(s):

Bogojeska, Jasmina

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Editor(s):

Shawe-Taylor, John
Zemel, Richard S.
Bartlett, Peter
Pereira, Fernando
Weinberger, Kilian Q.

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dblp
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Not MPII Editor(s):

Shawe-Taylor, John
Zemel, Richard S.
Bartlett, Peter
Pereira, Fernando
Weinberger, Kilian Q.

BibTeX cite key*:

Bogojeska2011

Title, Conference

Title*:

History distribution matching method for predicting effectiveness of HIV combination therapies

Booktitle*:

Neural Information Processing Systems (NIPS 2011)

Event Address*:

Granada, Spain

URL of the conference:

http://nips.cc

Event Date*:
(no longer used):


URL for downloading the paper:

http://books.nips.cc/papers/files/nips24/NIPS2011_0316.pdf

Event Start Date:

12 December 2011

Event End Date:

15 December 2011

Language:

English

Organization:


Publisher

Publisher's Name:

Neural Information Processing Systems Foundation

Publisher's URL:

http://www.proceedings.com/

Address*:

[s.l.]

Type:


Vol, No, pp., Year

Series:

Advances in Neural Information Processing Systems

Volume:

24

Number:


Month:


Pages:

424-432



Sequence Number:


Year*:

2011

ISBN/ISSN:






Abstract, Links, ©

URL for Reference:


Note:


(LaTeX) 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.

URL for the Abstract:




Tags, Categories, Keywords:

Machine learning, HIV therapy optimization, distribution matching

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort

BibTeX Entry:
@INPROCEEDINGS{Bogojeska2011,
AUTHOR = {Bogojeska, Jasmina},
EDITOR = {Shawe-Taylor, John and Zemel, Richard S. and Bartlett, Peter and Pereira, Fernando and Weinberger, Kilian Q.},
TITLE = {History distribution matching method for predicting effectiveness of {HIV} combination therapies},
BOOKTITLE = {Neural Information Processing Systems (NIPS 2011)},
PUBLISHER = {Neural Information Processing Systems Foundation},
YEAR = {2011},
VOLUME = {24},
PAGES = {424--432},
SERIES = {Advances in Neural Information Processing Systems},
ADDRESS = {Granada, Spain},
}


Entry last modified by Anja Becker, 03/20/2012
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Editor(s)
[Library]
Created
12/29/2011 11:24:33 AM
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
Anja Becker
Anja Becker
Jasmina Bogojeska
Edit Dates
20.03.2012 11:52:57
22.02.2012 15:41:06
22.02.2012 15:38:07
12/29/2011 11:24:33 AM