Page 39 - Invited Paper Session (IPS) - Volume 1
P. 39
IPS35 Dinov I.D. et al.
cross-section your investigators. All these activities demand substantial
community, institutional, state, federal, international, and philanthropic
support to advance data analytic methods, enhance the computing
infrastructure, train and support students and fellows, and tackle the Kryder
Law >> Moore Law trend (Dinov 2014).
Acknowledgements
This research is supported in part by NSF grants 1734853, 1636840, 1416953,
0716055 and 1023115; NIH grants P20 NR015331, U54 EB020406, P50
NS091856, P30 DK089503, UL1TR002240; and the Elsie Andresen Fiske
Research Fund.
References
1. Di Martino, A., C.-G. Yan, Q. Li, E. Denio, F. X. Castellanos, K. Alaerts, J. S.
Anderson, M. Assaf, S. Y. Bookheimer and M. Dapretto (2014). "The
autism brain imaging data exchange: towards a large-scale evaluation of
the intrinsic brain architecture in autism." Molecular psychiatry 19(6):
659.
2. Dinov, I. (2016). "Methodological Challenges and Analytic Opportunities
for Modeling and Interpreting Big Healthcare Data." GigaScience 5(12):
1-15.
3. Dinov, I. (2018). Data Science and Predictive Analytics: Biomedical and
Health Applications using R, Springer International Publishing.
4. Dinov, I., Petrosyan, P, Liu, Z, Eggert, P, Hobel, S, Vespa, P, Woo, Moon S,
Van Horn, JD, Franco, J, and Toga, AW. (2014). "High-Throughput
Neuroimaging-Genetics Computational Infrastructure." Frontiers in
Neuroinformatics 8(41): 1-11.
5. Dinov, I. D. (2016). "Volume and value of big healthcare data." Journal of
Medical Statistics and Informatics 4(1): 1-7.
6. Dwork, C. (2009). The differential privacy frontier. Theory of
Cryptography Conference, Springer.
7. Feller, J. and B. Fitzgerald (2002). Understanding open source software
development, Addison-Wesley London.
8. Gao, C., H. Sun, T. Wang, M. Tang, N. I. Bohnen, M. L. T. M. Müller, T.
Herman, N. Giladi, A. Kalinin, C. Spino, W. Dauer, J. M. Hausdorff and I. D.
Dinov (2018). "Model-based and Model-free Machine Learning
Techniques for Diagnostic Prediction and Classification of Clinical
Outcomes in Parkinson’s Disease." Scientific Reports 8(1): 7129.
9. Gentry, C. (2009). A fully homomorphic encryption scheme, Stanford
University.
10. Huang, Z., H. Zhang, J. Boss, S. A. Goutman, B. Mukherjee, I. D. Dinov, Y.
Guan and A. L. S. C. T. C. for the Pooled Resource Open-Access (2017).
28 | I S I W S C 2 0 1 9