OpenURL Connection Search

Select item for more details and to access through your institution.

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data.
Published in:
Data Mining & Knowledge Discovery, 2015, v. 29, n. 4, p. 1033, doi. 10.1007/s10618-014-0386-6
By:
- Bandyopadhyay, Sunayan;
- Wolfson, Julian;
- Vock, David;
- Vazquez-Benitez, Gabriela;
- Adomavicius, Gediminas;
- Elidrisi, Mohamed;
- Johnson, Paul;
- O'Connor, Patrick
Publication type:
Article
Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.
Published in:
Nature Methods, 2010, v. 7, n. 12, p. 1017, doi. 10.1038/nmeth.1534
By:
- Baryshnikova, Anastasia;
- Costanzo, Michael;
- Yungil Kim;
- Huiming Ding;
- Judice Koh;
- Kiana Toufighi;
- Ji-Young Youn;
- Jiongwen Ou;
- San Luis, Bryan-Joseph;
- Bandyopadhyay, Sunayan;
- Hibbs, Matthew;
- Hess, David;
- Gingras, Anne-Claude;
- Bader, Gary D.;
- Troyanskaya, Olga G.;
- Brown, Grant W.;
- Andrews, Brenda;
- Boone, Charles;
- Myers, Chad L.
Publication type:
Article
Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data.
Published in:
Journal of the American Heart Association, 2017, v. 6, n. 4, p. 1, doi. 10.1161/JAHA.116.003670
By:
- Wolfson, Julian;
- Vock, David M.;
- Bandyopadhyay, Sunayan;
- Kottke, Thomas;
- Vazquez-Benitez, Gabriela;
- Johnson, Paul;
- Adomavicius, Gediminas;
- O'Connor, Patrick J.
Publication type:
Article
A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data.
Published in:
Statistics in Medicine, 2015, v. 34, n. 21, p. 2941, doi. 10.1002/sim.6526
By:
- Wolfson, Julian;
- Bandyopadhyay, Sunayan;
- Elidrisi, Mohamed;
- Vazquez‐Benitez, Gabriela;
- Vock, David M.;
- Musgrove, Donald;
- Adomavicius, Gediminas;
- Johnson, Paul E.;
- O'Connor, Patrick J.
Publication type:
Article
Predicting genome-wide redundancy using machine learning.
Published in:
BMC Evolutionary Biology, 2010, v. 10, p. 357, doi. 10.1186/1471-2148-10-357
By:
- Huang-Wen Chen;
- Bandyopadhyay, Sunayan;
- Shasha, Dennis E.;
- Birnbaum, Kenneth D.
Publication type:
Article

Found: 5

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data.

Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.

Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data.

A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data.

Predicting genome-wide redundancy using machine learning.