Data science, learning, and applications to biomedical and health sciences (English)
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In:
Annals of the New York Academy of Sciences
;
1387
, 1
;
5-11
;
2017
- Article (Journal) / Electronic Resource
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Title:Data science, learning, and applications to biomedical and health sciences
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Contributors:
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Published in:Annals of the New York Academy of Sciences ; 1387, 1 ; 5-11
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Publisher:
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Publication date:2017-01-01
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Size:7 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 1387, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Issue Information| 2017
- 5
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Data science, learning, and applications to biomedical and health sciencesAdam, Nabil R. / Wieder, Robert / Ghosh, Debopriya et al. | 2017
- 12
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Introducing the Big Knowledge to Use (BK2U) challengePerl, Yehoshua / Geller, James / Halper, Michael / Ochs, Christopher / Zheng, Ling / Kapusnik‐Uner, Joan et al. | 2017
- 25
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Advanced literature analysis in a Big Data worldCheadle, Chris / Cao, Hongbao / Kalinin, Andrey / Hodgkinson, Jaqui et al. | 2017
- 34
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Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trialsSen, Anando / Ryan, Patrick B. / Goldstein, Andrew / Chakrabarti, Shreya / Wang, Shuang / Koski, Eileen / Weng, Chunhua et al. | 2017
- 44
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PopHR: a knowledge‐based platform to support integration, analysis, and visualization of population health dataShaban‐Nejad, Arash / Lavigne, Maxime / Okhmatovskaia, Anya / Buckeridge, David L. et al. | 2017
- 54
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A vision for collaborative training infrastructure for bioinformaticsWilliams, Jason J. / Teal, Tracy K. et al. | 2017
- 61
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An overview of human genetic privacyShi, Xinghua / Wu, Xintao et al. | 2017
- 73
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Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United StatesWang, Shuang / Jiang, Xiaoqian / Singh, Siddharth / Marmor, Rebecca / Bonomi, Luca / Fox, Dov / Dow, Michelle / Ohno‐Machado, Lucila et al. | 2017
- 84
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Predictive time‐series modeling using artificial neural networks for Linac beam symmetry: an empirical studyLi, Qiongge / Chan, Maria F. et al. | 2017
- 95
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Extension of research data repository system to support direct compute access to biomedical datasets: enhancing Dataverse to support large datasetsMcKinney, Bill / Meyer, Peter A. / Crosas, Mercè / Sliz, Piotr et al. | 2017
- 105
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Distributed data networks: a blueprint for Big Data sharing and healthcare analyticsPopovic, Jennifer R. et al. | 2017
- 112
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Big Data access and infrastructure for modern biology: case studies in data repository utilityBoles, Nathan C. / Stone, Tyler / Bergeron, Charles / Kiehl, Thomas R. et al. | 2017
- 124
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Evolvix BEST Names for semantic reproducibility across code2brain interfacesLoewe, Laurence / Scheuer, Katherine S. / Keel, Seth A. / Vyas, Vaibhav / Liblit, Ben / Hanlon, Bret / Ferris, Michael C. / Yin, John / Dutra, Inês / Pietsch, Anthony et al. | 2017
- 145
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Video‐based eye tracking for neuropsychiatric assessmentAdhikari, Sam / Stark, David E. et al. | 2017
- 153
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Machine learning approaches to personalize early prediction of asthma exacerbationsFinkelstein, Joseph / Jeong, In cheol et al. | 2017