Keyword Search
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Keyword Search Criteria: Machine learning returned 65 record(s)
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Sunday, 07/30/2017
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Computational Health Economics for Health Care Spending
Sherri Rose, Harvard Medical School; Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School
2:05 PM
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Matched Learning (M-Learning) for Estimating Optimal Individualized Treatment Rules
Peng Wu, Columbia University; Yuanjia Wang , Columbia University
2:05 PM
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Combining Unit Root Tests with Machine Learning Techniques
Edward Herranz; James Gentle, George Mason University
3:35 PM
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Latent Dirichlet Allocation Topic Models Applied to the Centers for Disease Control and Prevention's Grant Portfolio
Matthew Eblen, Centers for Disease Control and Prevention; Robin Wagner, Centers for Disease Control and Prevention
4:05 PM
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Identifying Out of Business Records on the NASS List Frame Using Boosted Regression Trees
Gavin Corral, USDA NASS; Andrew Dau, USDA NASS
4:20 PM
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Monday, 07/31/2017
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Identifying clusters of cognitive functioning trajectories in elderly: A comparison of three methodologies
Victor Talisa, Department of Biostatistics, University of Pittsburgh; Tianxiu Wang, University of Pittsburgh; Zhongying Xu, University of Pittsburgh; Joyce Chang, University of Pittsburgh
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Extending the Distributed Lag Model Framework to Evaluate Mixture Effects - a Nonparametric Approach
Ghalib Bello, Icahn School of Medicine at Mount Sinai
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AN ANALYSIS of NETWORK DISCUSSION TRENDS in TWITTER USING HASHTAG CLUSTERS
Elizabeth Tigner, Purdue University ; Jennifer Neville, Purdue University
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Leveraging Ensembles of Machine Learning Algorithms to Provide Real-Time Instructor Feedback
Alexander Lyford, UGA
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CAM2 Network Camera Object Detection Dataset and Analysis
Kent Gauen, Purdue University; Yuxiang Zi, Purdue University; John Laiman, Purdue University; Nirmal Asokan, Purdue University; Yung-Hsiang Lu, Purdue University
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Data Science and Environmental Statistics
Stephan Sain, Unaffiliated
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A Generalizable Application of SuperLearner to Facial Recognition
Mary Combs, UNIVERSITY OF CALIFORNIA
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An Algorithm for Detecting Melanoma Based on Imaging Biomarkers
Joel Correa da Rosa, Rockefeller University; Amanda Zong, The Rockefeller University; Daniel Gareau, The Rockefeller University
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Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
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Assessing Variable Importance Nonparametrically Using Machine Learning Techniques
Brian Williamson, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Noah Simon, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
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An Overview of Existing and a Novel Approaches to Multi-Label Classification
Hyukjun Gweon; Matthias Schonlau, University of Waterloo; Stefan Steiner, University of Waterloo
8:35 AM
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Assessing Variable Importance Nonparametrically Using Machine Learning Techniques
Brian Williamson, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Noah Simon, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center
9:10 AM
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Delayed Greedy Algorithm for Classification and Regression Trees
Kyle Caudle, South Dakota School of Mines and Technology; Larry Pyeatt, South Dakota School of Mines and Technology; Patrick Fleming, South Dakota School of Mines and Technology
9:20 AM
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Sample Size Methods for Developing Predictors from Genomic Data
Kevin Dobbin, University of Georgia
10:35 AM
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Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:20 AM
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Computational Learning Methods for Neuroimaging Data Analysis
Don Hong, Middle Tennessee State Univ; Xin Yang, Southern Arkansas University; Jingsai Liang, Middle Tennessee State University
11:35 AM
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
11:40 AM
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Tuesday, 08/01/2017
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Precision Medicine Opportunities in Mental Health
Michael R Kosorok, University of North Carolina at Chapel Hill
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Three Methods for Occupation Coding Based on Statistical Learning
Matthias Schonlau, University of Waterloo; Hyukjun Gweon; Lars Kaczmirek, GESIS; Michael Blohm, GESIS; Stefan Steiner, University of Waterloo
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Integrating Data Science and Big Data Concepts and Machine Learning in Drug Safety
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
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Variable Selection on Functional Data Using Kernel Machine
Haoyu Wang, North Carolina State University
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Developing a Performance Sustaining Decoder for a Brain Computer Interface Controlled Neuroprosthetic Device
David Friedenberg, Battelle Memorial Institute; Mingming Zhang, Battelle; Michael Schwemmer, Battelle; Nick Annetta, Battelle; Marcia Bockbrader, Center for Neuromodulation, The Ohio State University & Department of Physical Medicine an; Chad Bouton, Battelle (currently at Feinstein Institute for Medical Research); Ali Rezai, Center for Neuromodulation, The Ohio State University; W. Jerry Mysiw, Department of Physical Medicine and Rehabilitation, The Ohio State University ; Herbert Bresler, Battelle; Gaurav Sharma, Battelle
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Development of a Multi-Parametric MR Classifier for Prostate Cancer
Joseph Koopmeiners, University of Minnesota; Jin Jin, University of Minnesota; Lin Zhang, University of Minnesota; Ethan Leng, University of Minnesta; Greg Metzger, University of Minnesta
9:00 AM
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Structural Image Analysis for Improved Prediction of Patient Outcomes
Ani Eloyan, Brown University
9:25 AM
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Modeling Weather-Induced Home Insurance Risks with Support Vector Machine Regression
Vyacheslav Lyubchich, University of Maryland Center for Environmental Science; Yulia R. Gel, University of Texas at Dallas; Asim Kumer Dey, University of Texas at Dallas
9:35 AM
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Variable Selection on Functional Data Using Kernel Machine
Haoyu Wang, North Carolina State University
10:40 AM
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Metagenomic Meta-Analysis of Large Data Sets: Tools and Biological Insights
Edoardo Pasolli, University of Trento, CIBIO
10:55 AM
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Improving Statistics Education Through Interactive Learning Tools
Philipp Burckhardt, Carnegie Mellon University; Alexandra Chouldechova, Carnegie Mellon University
11:05 AM
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Developing a Performance Sustaining Decoder for a Brain Computer Interface Controlled Neuroprosthetic Device
David Friedenberg, Battelle Memorial Institute; Mingming Zhang, Battelle; Michael Schwemmer, Battelle; Nick Annetta, Battelle; Marcia Bockbrader, Center for Neuromodulation, The Ohio State University & Department of Physical Medicine an; Chad Bouton, Battelle (currently at Feinstein Institute for Medical Research); Ali Rezai, Center for Neuromodulation, The Ohio State University; W. Jerry Mysiw, Department of Physical Medicine and Rehabilitation, The Ohio State University ; Herbert Bresler, Battelle; Gaurav Sharma, Battelle
11:20 AM
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Statistical Machine Learning and Precision Medicine
Michael Lawson, University of North Carolina at Chapel Hill; Michael R Kosorok, University of North Carolina at Chapel Hill
11:25 AM
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Machine Learning Methods to Improve Causal Inference
Elizabeth Stuart, Johns Hopkins University
2:05 PM
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Adventures in Statistical Machine Learning
Grace Wahba, University of Wisconsin
2:05 PM
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Predictive Modeling of Health Care Associated Infections (HAIs) Using National Linked Individual Health Care Data in Scotland
Kimberley Kavanagh, University of Strathclyde; Jiafeng Pan, University of Strathclyde; Chris Robertson, University of Strathclyde; Marion Bennie, University of Strathclyde; Charis Marwick, University of Dundee; Colin McCowan, University of Glasgow
2:20 PM
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The Estimation of Match Validity Under the Fellegi-Sunter Paradigm Without Assuming Identifier-Agreement Independence
Dean Resnick, NORC
2:25 PM
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Predicting Market Segment Membership Using Deep Learning
Lynd Bacon, LBA Ltd. | Northwestern Univ. | Notre Dame Univ.
2:35 PM
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Wednesday, 08/02/2017
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Regression-Enhanced Random Forests
Haozhe Zhang, Iowa State University; Dan Nettleton, Iowa State University; Zhengyuan Zhu, Iowa State University
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Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews
Corrado Lanera, University of Padova; Ileana Baldi, University of Padova; Clara Minto, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
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Personalizing Mobile Health Interventions
Susan A Murphy, University of Michigan
8:35 AM
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Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings
Weixin Cai, University of California, Berkeley; Alan Hubbard, University of California, Berkeley
8:35 AM
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Regression-Enhanced Random Forests
Haozhe Zhang, Iowa State University; Dan Nettleton, Iowa State University; Zhengyuan Zhu, Iowa State University
8:45 AM
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Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM
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Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM
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Assessing the Informational Content of Seasonality Tests by Random Forests of Conditional Inference Trees
Daniel Ollech, Deutsche Bundesbank; Karsten Webel, Deutsche Bundesbank
9:35 AM
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Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews
Corrado Lanera, University of Padova; Ileana Baldi, University of Padova; Clara Minto, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
10:00 AM
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Eye-Tracking in Practice: A First Analysis of a Study on Human Postures
Jurgen Symanzik, Utah State University; Chunyang Li; Boyu Zhang, Utah State University; Breanna Studenka, Utah State University; Eric McKinney, Utah State University
10:50 AM
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New Machine Learning Tools for Discovering and Utilizing Biomarkers in Precision Medicine
Daniel Luckett, University of North Carolina at Chapel Hill; Eric Laber, North Carolina State University; Michael R Kosorok, University of North Carolina at Chapel Hill
10:55 AM
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Machine Learning Methods in the Statistical Prediction of Health Outcomes
William Padula, Johns Hopkins Bloomberg SPH
10:55 AM
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A Comparison of Risk Adjustment Models Based on Traditional Statistical and Machine Learning Techniques
Hong Kan; Hsien-Yen Chang, Johns Hopkins Bloomberg School of Public Health; Hadi Kharrazi, Johns Hopkins Bloomberg School of Public Health
11:15 AM
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One-Versus Two-Step Approaches to Survey Nonresponse Adjustments
Robert Fay, Westat; Minsun Riddles, Westat
2:20 PM
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High-Dimensional Precision Medicine from Patient Derived Xenograft Data
Naim Rashid, University of North Carolina at Chapel Hill; Jingxiang Chen, University of North Carolina at Chapel Hill; Michael Lawson, University of North Carolina at Chapel Hill; Daniel Luckett, University of North Carolina at Chapel Hill; Longshaokan Wang, North Carolina State University; Eric Laber, North Carolina State University; Yufeng Liu, University of North Carolina; Jen Jen Yeh, University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina; Michael R Kosorok, University of North Carolina at Chapel Hill
2:35 PM
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Thursday, 08/03/2017
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A Data Science Approach to Analyzing Neural Data
Ethan Meyers
9:50 AM
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Using Passive Data Collection, System-to-System Data Collection, and Machine Learning to Improve Economic Surveys
Brian Arthur Dumbacher, U.S. Census Bureau; Demetria Hanna, U.S. Census Bureau
10:35 AM
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What Is the the Best and Safest for Me? Data Science Methods Applied to Medical Products and Treatments
Carolyn Carroll, Stat Tech, Inc.
10:35 AM
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Evaluation of Medical Care Event Reporting in a National Household Survey
Jerrod Anderson, AHRQ; Emily Mitchell, Agency for Healthcare Research and Quality; Adam Biener, Agency for Healthcare Research and Quality
10:35 AM
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Leveraging Flexible Modeling Techniques in Data-driven Analytics
Liangyuan Hu, Icahn School of Medicine at Mount Sinai ; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
10:35 AM
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Residuals and Influence in Bayesian Ensemble Models
Robert McCulloch, Arizona State University; Matthew Pratola, The Ohio State University
11:00 AM
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Inference and Analysis on Social Networks from Newswire Content
William Campbell, MIT Lincoln Laboratory; Lin Li, MIT Lincoln Laboratory; Joel Acevedo-Aviles, MIT Lincoln Laboratory
11:05 AM
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Leveraging Machine Learning in the Analysis of Safety Data in Drug Research and Healthcare Informatics
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
11:15 AM
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Optimizing Patient Selection for Chemoprevention Through Predictive Modeling
Xi Kathy K Zhou, Weill Cornell Medical College
11:50 AM
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