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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.
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Journal ArticleDOI
Recommendations for Diagnosis, Treatment, and Management of Individuals with Turner Syndrome
Ron G. Rosenfeld,Lynn-Georgia Tesch,Luis J. Rodriguez-Rigau,Elizabeth McCauley,Kerstin Albertsson-Wikland,Ricardo H. Asch,José F. Cara,Felix A. Conte,Judith G. Hall,Barbara M. Lippe,Theodore C. Nagel,E. Kirk Neely,David C. Page,Michael B. Ranke,Paul Saenger,John M. Watkins,Darrell M. Wilson +16 more
TL;DR: The objective of this study was to establish the optimum treatment and overall care recommendations for individuals with Turner syndrome at all stages of life as an aid to medical professionals working with these individuals.
Proceedings ArticleDOI
Predicting cancer susceptibility from single-nucleotide polymorphism data: a case study in multiple myeloma
TL;DR: The accuracy of the trained SVM estimated by leave-one-out cross-validation is significantly greater than random guessing, and this result is particularly encouraging since only 3000 SNPs were used in profiling, whereas several million SNPs are known.
Journal ArticleDOI
Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure.
TL;DR: An overview of machineLearning targeted for the practicing clinician is provided and current applications of machine learning in the diagnosis, classification, and prediction of heart failure are evaluated.
Proceedings Article
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
TL;DR: This article showed that there is a region of precision recall space that is completely unachievable, and the size of this region depends only on the skew of the data set, and discussed its implications for empirical evaluation methodology in machine learning.
Journal ArticleDOI
Tumor suppressor gene Rb is required for self-renewal of spermatogonial stem cells in mice
TL;DR: It is concluded that Rb is required for self-renewal of germ-line stem cells, but contrary to its critical roles in somaticstem cells, it is dispensable for their proliferative activity and terminal differentiation.