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Activity Details

356 Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Statistical Learning: Methods and Applications — Contributed Papers
Section on Statistical Learning and Data Science, Text Analysis Interest Group
Chair(s): Scott Rome, Comcast
Combination of Optical Character Recognition and Natural Language Processing to Identify Patients with Sleep Apnea in EHR Data
Enshuo Hsu, University of Texas Medical Branch; Yong-Fang Kuo, University of Texas Medical Branch; Rizwana Sultana, University of Texas Medical Branch; Gulshan Sharma, University of Texas Medical Branch
Flexible Feature Selection and Cluster Analysis for Heterogeneous Data with Application to a Diffusion Tensor Imaging Study
Wanying Ma, Novartis Pharmaceuticals Company; Luo Xiao, North Carolina State University; Jaroslaw Harezlak, Indiana University
Genetic Algorithms for Feature Selection
Huanjun Zhang, Texas A&M University; Edward Jones, Texas A&M University
Towards an Adaptive Algorithm for Online Substance Use Episode Detection
Joshua Rumbut, University of Massachusetts Dartmouth, University of Massachusetts Medical School; Hua Fang, University of Massachusetts Dartmouth, University of Massachusetts Medical School
Common and Distinctive Pattern Analysis Between High-Dimensional Data Sets
Hai Shu, New York University; Zhe Qu, Tulane University
Achieving Impact with Data Science and Machine Learning in Drug Development
David Ohlssen, Novartis Pharmaceuticals
Automatic Identification and Classification of Different Types of Otitis from Free-Text Pediatric Medical Notes: A Deep-Learning Approach
Corrado Lanera, University of Padova