檢索結果 - Jacob Furst

322 Exploring the Iterative Clustering for Subtype Discovery (iKCAT) Algorithm for Robust Computer-Aided Diagnosis of Lung Cancer 由 Adrianna Pinzariu, Daniela Raicu, Jacob Furst, Roselyne Tchoua

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Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis 由 Amal Almansour, Enid Montague, Jacob Furst, Daniela Raicu

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DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles 由 Priya Deshpande, Alexander Rasin, Jacob Furst, Daniela Raicu, Sameer Antani

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Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers 由 Samuel G. Armato III, Jacob Furst, Dmitriy Zinovev, Daniela Raicu

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3D Printing of Thermally Responsive Shape Memory Liquid Crystalline Epoxy Networks 由 Collin Pekol, Jacob Furst, Yuzhan Li, Jong Keum, David P. Harper

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Predicting Myalgic Encephalomyelitis/Chronic Fatigue Syndrome from Early Symptoms of COVID-19 Infection 由 Chelsea Hua, Jennifer Schwabe, Leonard A. Jason, Jacob Furst, Daniela Raicu

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318 Discovering Subgroups with Supervised Machine Learning Models for Heterogeneity of Treatment Effect Analysis 由 Edward Xu, Joseph Vanghelof, Daniela Raicu, Jacob Furst, Raj Shah, Roselyne Tchoua

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Biomedical heterogeneous data categorization and schema mapping toward data integration 由 Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer Antani

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Outcome risk model development for heterogeneity of treatment effect analyses: a comparison of non-parametric machine learning methods and semi-parametric statistical methods 由 Edward Xu, Joseph Vanghelof, Yiyang Wang, Anisha Patel, Jacob Furst, Daniela Stan Raicu, Johannes Tobias Neumann, Rory Wolfe, Caroline X. Gao, John J. McNeil, Raj C. Shah, Roselyne Tchoua

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