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Author Details

Ryan J Urbanowicz
Perelman School of Medicine at the University of Pennsylvania
2008
33
12
PMIDPaper TitleJournal TitlePublished Year
36053665Baseline Sex Differences in Pulmonary Arterial Hypertension Randomized Clinical Trials.Ann Am Thorac Soc2023
37350896Exploring Automated Machine Learning for Cognitive Outcome Prediction from Multimodal Brain Imaging using STREAMLINE.AMIA Jt Summits Transl Sci Proc2023
37350880Comparing Amyloid Imaging Normalization Strategies for Alzheimer's Disease Classification using an Automated Machine Learning Pipeline.AMIA Jt Summits Transl Sci Proc2023
37120046HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm.J Biomed Inform2023
37443040ChatGPT and large language models in academia: opportunities and challenges.BioData Min2023
37128417Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing.AMIA Annu Symp Proc2023
36809006Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors.JCO Clin Cancer Inform2023
34820791A Semi-Automated Term Harmonization Pipeline Applied to Pulmonary Arterial Hypertension Clinical Trials.Methods Inf Med2022
35924480Genetic heterogeneity: Challenges, impacts, and methods through an associative lens.Genet Epidemiol2022
35247393BMI and Treatment Response in Patients With Pulmonary Arterial Hypertension: A Meta-analysis.Chest2022
35151364Gene-Interaction-Sensitive enrichment analysis in congenital heart disease.BioData Min2022
34936541Secular and Regional Trends among Pulmonary Arterial Hypertension Clinical Trial Participants.Ann Am Thorac Soc2022
34282602Why Is the Electronic Health Record So Challenging for Research and Clinical Care?Methods Inf Med2021
31583758Embracing study heterogeneity for finding genetic interactions in large-scale research consortia.Genet Epidemiol2020
33193740Editorial: Machine Learning in Genome-Wide Association Studies.Front Genet2020
32419848Ideas for how informaticians can get involved with COVID-19 research.BioData Min2020
30760118Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.Per Med2019
30239600STatistical Inference Relief (STIR) feature selection.Bioinformatics2019
31438011Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.Stud Health Technol Inform2019
29713383Collective feature selection to identify crucial epistatic variants.BioData Min2018
30030120Benchmarking relief-based feature selection methods for bioinformatics data mining.J Biomed Inform2018
30031057Relief-based feature selection: Introduction and review.J Biomed Inform2018
30323861To know the objective is not (necessarily) to know the objective function.BioData Min2018
29238404PMLB: a large benchmark suite for machine learning evaluation and comparison.BioData Min2017
29044470Analysis of Gene-Gene Interactions.Curr Protoc Hum Genet2017
26417393ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier System.Evol Intell2015
25057293A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection.BioData Min2014
23444013Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.J Am Med Inform Assoc2013
24358057A Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier Systems.Evol Intell2013
23014095Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection.BioData Min2012
25431544An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems.IEEE Comput Intell Mag2012
23025260GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures.BioData Min2012
23019565Mask Functions for the Symbolic Modeling of Epistasis Using Genetic Programming.Genet Evol Comput Conf2008
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Collaborators

Cedars-Sinai Medical Center
Co-authored papers 25
Center for Systems Genomics, Pennsylvania State University, University Park
Co-authored papers 6
Institute for Biomedical Informatics, University of Pennsylvania
Co-authored papers 5
University of Pennsylvania Perelman School of Medicine
Co-authored papers 5
University of Pennsylvania
Co-authored papers 4
University of Pennsylvania
Co-authored papers 4
Dartmouth College, 1 Medical Center Dr.
Co-authored papers 3
Cedars-Sinai Medical Center
Co-authored papers 3
University of Pennsylvania
Co-authored papers 3
University of Pennsylvania
Co-authored papers 3
University of Pennsylvania, University of Pennsylvania School of Nursing
Co-authored papers 3
Indiana University School of Medicine
Co-authored papers 2
Co-authored papers 2
University of Pennsylvania
Co-authored papers 2
University of Pennsylvania Perelman School of Medicine.
Co-authored papers 2
David Geffen School of Medicine, University of California los angeles
Co-authored papers 2
University of Pennsylvania
Co-authored papers 1
Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia
Co-authored papers 1
The University of Tulsa
Co-authored papers 1
and Informatics Perelman School of Medicine, University of Pennsylvania
Co-authored papers 1
Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia
Co-authored papers 1
Perelman School of Medicine, University of Pennsylvania
Co-authored papers 1
University of Connecticut
Co-authored papers 1
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University of Texas M.D. Anderson Cancer Center
Co-authored papers 1
Dartmouth College Geisel School of Medicine, Princeton University, University of Colorado Anschutz Medical Campus, University of Pennsylvania Perelman School of Medicine
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Geisel School of Medicine at Dartmouth
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University of Pennsylvania
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