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Displaying 1-5 out of 5 total
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shuai Huang,Jing Li,Jieping Ye,Adam Fleisher,Kewei Chen,Teresa Wu,Eric Reiman,the Alzheimer's Disease Neuroimaging Initiative
Issue Date:June 2013
Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN structures from high-dimensional data becomes a challen...
Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease
By Jieping Ye,Teresa Wu, Jing Li, Kewei Chen
Issue Date:April 2011
Machine learning tools aid many Alzheimer's disease-related investigations by enabling multisource data fusion and biomarker identification as well as analysis of functional brain connectivity.
Healthcare Intelligence: Turning Data into Knowledge
IEEE Intelligent Systems
By Hui Yang,Erhun Kundakcioglu,Jing Li,Teresa Wu,J. Ross Mitchell,Amy K. Hara,William Pavlicek,Leland S. Hu,Alvin C. Silva,Christine M. Zwart,Sait Tunc,Oguzhan Alagoz,Elizabeth Burnside,W. Art Chaovalitwongse,Georgiy Presnyakov,Yulian Cao,Sirirat Sujitnapitsatham,Daehan Won,Tara Madhyastha,Kurt E. Weaver,Paul R. Borghesani,Thomas J. Grabowski,Lianjie Shu,Man Ho Ling,Shui-Yee Wong,Kwok-Leung Tsui
Issue Date:May 2014
Exceptional opportunities exist for researchers and practitioners to invest in conducting innovative and transformative research in data mining and health informatics. This IEEE Intelligent Systems "Trends and Controversies" (T&C) departm...
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Found in: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09)
By Eric Reiman, Jieping Ye, Jing Li, Jun Liu, Kewei Chen, Liang Sun, Rinkal Patel, Teresa Wu
Issue Date:June 2009
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have demonstrated that AD is closely related to the structure change of the brain network...
Heterogeneous data fusion for alzheimer's disease study
Found in: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '08)
By Eric Reiman, Gene Alexander, Huan Liu, Jieping Ye, Jing Li, Kewei Chen, Min Bae, Ravi Janardan, Rinkal Patel, Teresa Wu, Zheng Zhao
Issue Date:August 2008
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive and consistent measures of AD. In addition, genetic and demographic information hav...
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