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David C. Page
Researcher at Massachusetts Institute of Technology
Publications - 523
Citations - 47344
David C. Page is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Y chromosome & X chromosome. The author has an hindex of 110, co-authored 509 publications receiving 44119 citations. Previous affiliations of David C. Page include Hennepin County Medical Center & University of California, Los Angeles.
Papers
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Book ChapterDOI
Score As You Lift (SAYL): a statistical relational learning approach to uplift modeling
Houssam Nassif,Finn Kuusisto,Elizabeth S. Burnside,David C. Page,Jude W. Shavlik,Vítor Santos Costa +5 more
TL;DR: The first multi-relational uplift modeling system, and it is demonstrated that the system can indeed obtain differential rules of interest to an expert on real data, while significantly improving the data uplift.
Proceedings ArticleDOI
Subsampled Exponential Mechanism: Differential Privacy in Large Output Spaces
TL;DR: This work presents the subsampled exponential mechanism, which scores only a sample of the outcomes, and shows that it still preserves differential privacy, and fulfills a similar accuracy bound.
Proceedings Article
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
Jie Liu,Chunming Zhang,Catherine A. McCarty,Peggy Peissig,Elizabeth S. Burnside,David C. Page +5 more
TL;DR: This work proposes a multiple testing procedure based on a Markov-random-field-coupled mixture model, which is applied to a real-world genome-wide association study on breast cancer, and identifies several SNPs with strong association evidence.
Journal Article
Breastfeeding is early functional jaw orthopedics (an introduction).
TL;DR: Dentists who understand the positive impact of forward orthopedic forces on the jaws should support and advocate exclusive breastfeeding for about 6 months.
Proceedings ArticleDOI
bigNN: An open-source big data toolkit focused on biomedical sentence classification
Ahmad P. Tafti,Ehsun Behravesh,Mehdi Assefi,Eric LaRose,Jonathan C. Badger,John E. Mayer,AnHai Doan,David C. Page,Peggy L. Peissig +8 more
TL;DR: An open-source big data neural network toolkit, namely bigNN, is designed and developed which tackles the problem of large-scale biomedical text classification in an efficient fashion, facilitating fast prototyping and reproducible text analytics researches.