Artificial intelligence in oncology: Path to implementation von Chua, Isaac S., Gaziel‐Yablowitz, Michal, Korach, Zfania T., Kehl, Kenneth L., Levitan, Nathan A., Arriaga, Yull E., Jackson, Gretchen P., Bates, David W., Hassett, Michael

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Speech recognition for clinical documentation from 1990 to 2018: a systematic review von Blackley, Suzanne V, Huynh, Jessica, Wang, Liqin, Korach, Zfania, Zhou, Li

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Mining clinical phrases from nursing notes to discover risk factors of patient deterioration von Korach, Zfania Tom, Yang, Jie, Rossetti, Sarah Collins, Cato, Kenrick D., Kang, Min-Jeoung, Knaplund, Christopher, Schnock, Kumiko O., Garcia, Jose P., Jia, Haomiao, Schwartz, Jessica M., Zhou, Li

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Keratoconus and Allergic Diseases Among Israeli Adolescents Between 2005 and 2013 von Merdler, Ilan, Hassidim, Ayal, Sorkin, Nir, Shapira, Shachar, Gronovich, Yoav, Korach, Zfania

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Medical Malpractice Trends: Errors in Automated Speech Recognition von Topaz, Maxim, Schaffer, Adam, Lai, Kenneth H., Korach, Zfania Tom, Einbinder, Jonathan, Zhou, Li

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Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department von Korach, Zfania Tom, Gradwohl, Stephen, Messinger, Amanda, Bookman, Kelly, Cohen, Kevin, Zhou, Li, Goss, Foster

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Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes von Wang, Liqin, Lakin, Joshua, Riley, Clay, Korach, Zfania, Frain, Laura N, Zhou, Li

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A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record von Wang, Liqin, Blackley, Suzanne V, Blumenthal, Kimberly G, Yerneni, Sharmitha, Goss, Foster R, Lo, Ying-Chih, Shah, Sonam N, Ortega, Carlos A, Korach, Zfania Tom, Seger, Diane L, Zhou, Li

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Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning von Korach, Zfania Tom, Yerneni, Sharmitha, Einbinder, Jonathan, Kallenberg, Carl, Zhou, Li

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Malpractice Cases Involving Allergy Information in Electronic Health Records: Implications for Safer Systems von Topaz, Maxim, Schaffer, Adam, Lai, Kenneth, Korach, Zfania Tom, Einbinder, Jonathan, Zhou, Li

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Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event von Korach, Zfania Tom, Cato, Kenrick D., Collins, Sarah A., Kang, Min Jeoung, Knaplund, Christopher, Dykes, Patricia C., Wang, Liqin, Schnock, Kumiko O., Garcia, Jose P., Jia, Haomiao, Chang, Frank, Schwartz, Jessica M., Zhou, Li

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