Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients von Lewis, Maor, Elad, Guy, Beladev, Moran, Maor, Gal, Radinsky, Kira, Hermann, Dor, Litani, Yoav, Geller, Tal, Pines, Jesse M., Shapiro, Nathan l., Figueroa, Jose F.

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Machine learning algorithm for early detection of end-stage renal disease von Segal, Zvi, Kalifa, Dan, Radinsky, Kira, Ehrenberg, Bar, Elad, Guy, Maor, Gal, Lewis, Maor, Tibi, Muhammad, Korn, Liat, Koren, Gideon

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Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning von Koren, Gideon, Nordon, Galia, Radinsky, Kira, Shalev, Varda

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Prototype-Based Compound Discovery Using Deep Generative Models von Harel, Shahar, Radinsky, Kira

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Development of a machine learning algorithm for early detection of opioid use disorder von Segal, Zvi, Radinsky, Kira, Elad, Guy, Marom, Gal, Beladev, Moran, Lewis, Maor, Ehrenberg, Bar, Gillis, Plia, Korn, Liat, Koren, Gideon

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On biases of attention in scientific discovery von Singer, Uriel, Radinsky, Kira, Horvitz, Eric

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Gender-sensitive word embeddings for healthcare von Agmon, Shunit, Gillis, Plia, Horvitz, Eric, Radinsky, Kira

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Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study von Agmon, Shunit, Singer, Uriel, Radinsky, Kira

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Chronic Use of β-Blockers and the Risk of Parkinson’s Disease von Koren, Gideon, Norton, Galia, Radinsky, Kira, Shalev, Varda

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Artificial Intelligence in Healthcare: A New Frontier in Predicting and Managing Chronic Diseases von Nathan, Natalie, Saring, Michael, Savion-Gaiger, Noam, Radinsky, Kira, Peri, Alma

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Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods von Novgorodov, Slava, Guy, Ido, Elad, Guy, Radinsky, Kira

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Machine learning of big data in gaining insight into successful treatment of hypertension von Koren, Gideon, Nordon, Galia, Radinsky, Kira, Shalev, Varda

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Learning to Predict from Textual Data von Radinsky, K., Davidovich, S., Markovitch, S.

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Behavioral dynamics on the web: Learning, modeling, and prediction von Radinsky, Kira, Svore, Krysta M., Dumais, Susan T., Shokouhi, Milad, Teevan, Jaime, Bocharov, Alex, Horvitz, Eric

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Ordinary Differential Equations for Enhanced 12-Lead ECG Generation von Yehuda, Yakir, Radinsky, Kira

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Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform von Koren, Noam, Radinsky, Kira

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Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram von Golany, Tomer, Radinsky, Kira, Kofman, Natalia, Litovchik, Ilya, Young, Revital, Monayer, Antoinette, Love, Itamar, Tziporin, Faina, Minha, Ido, Yehuda, Yakir, Ziv-Baran, Tomer, Fuchs, Shmuel, Minha, Sa'ar

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Cross-Domain Collaborative Filtering with Factorization Machines von Loni, Babak, Shi, Yue, Larson, Martha, Hanjalic, Alan

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What If: Generating Code to Answer Simulation Questions von Peretz, Gal, Radinsky, Kira

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Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, the Netherlands, April 13-16, 2014, Proceedings von de Rijke, Maarten, Kenter, Tom, de Vries, Arjen P, Zhai, Chengxiang, de Jong, Franciska, Radinsky, Kira, Hofmann, Katja

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