Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assurance by Miran, Seyed M., Nelson, Stuart J., Redd, Doug, Zeng-Treitler, Qing

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Developing Informatics Tools and Strategies for Consumer-centered Health Communication by Keselman, Alla, Logan, Robert, Smith, Catherine Arnott, Leroy, Gondy, Zeng-Treitler, Qing

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Automated alerts and reminders targeting patients: A review of the literature by Perri-Moore, Seneca, Kapsandoy, Seraphine, Doyon, Katherine, Hill, Brent, Archer, Melissa, Shane-McWhorter, Laura, Bray, Bruce E, Zeng-Treitler, Qing

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Active learning for clinical text classification: is it better than random sampling? by Figueroa, Rosa L, Zeng-Treitler, Qing, Ngo, Long H, Goryachev, Sergey, Wiechmann, Eduardo P

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Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches by Kuang, Jinqiu, Argo, Lauren, Stoddard, Greg, Bray, Bruce E, Zeng-Treitler, Qing

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Impact of the COVID-19 Pandemic on the Provision of Dialysis Service and Mortality in Veterans Receiving Maintenance Hemodialysis in the VA: An Interrupted Time-Series Analysis by Patel, Samir, Trujillo Rivera, Eduardo A, Raman, Venkatesh K, Faselis, Charles, Wang, Virginia, Fink, Jeffrey C, Roseman, Jeffrey M, Morgan, Charity J, Zhang, Sijian, Sheriff, Helen M, Heimall, Michael S, Wu, Wen-Chih, Zeng-Treitler, Qing, Ahmed, Ali

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Creating a gold standard for the readability measurement of health texts by Kandula, Sasikiran, Zeng-Treitler, Qing

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Hybrid Value-Aware Transformer Architecture for Joint Learning from Longitudinal and Non-Longitudinal Clinical Data by Shao, Yijun, Cheng, Yan, Nelson, Stuart J, Kokkinos, Peter, Zamrini, Edward Y, Ahmed, Ali, Zeng-Treitler, Qing

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Patient needs and preferences for herb-drug-disease interaction alerts: a structured interview study by Christensen, Carrie M, Morris, Rebecca S, Kapsandoy, Seraphine Chepkemoi, Archer, Melissa, Kuang, Jinqiu, Shane-McWhorter, Laura, Bray, Bruce E, Zeng-Treitler, Qing

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Heart Failure Among Asian American Subpopulations by Cheng, Yan, Poon, Adrienne N, Ling, Youxuan, Wu, Wen-Chih, Ahmed, Ali, Vasaitis, Tadas S, Panjrath, Gurusher, Edberg, Mark, Gomberg-Maitland, Mardi, Yin, Ying, Nelson, Stuart J, Zeng-Treitler, Qing

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Differences in nationwide cohorts of acupuncture users identified using structured and free text medical records by Redd, Doug, Kuang, Jinqiu, Zeng-Treitler, Qing

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Healthy Lifestyle and Mood: A Biomedical Informatics Citizen Science Project in a High School Classroom by Ushe, Jennifer, Redd, Doug, Nunez, Scarlyn Gutierrez, Trujillo-Rivera, Eduardo A, Tekle, Senait, Nelson, Stuart J, Zeng-Treitler, Qing

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Enhancing Clinical Data Analysis by Explaining Interaction Effects between Covariates in Deep Neural Network Models by Shao, Yijun, Ahmed, Ali, Zamrini, Edward Y, Cheng, Yan, Goulet, Joseph L, Zeng-Treitler, Qing

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Relationship Between Pain and LGBT Status Among Veterans in Care in a Retrospective Cross-Sectional Cohort by Gordon, Kirsha S, Buta, Eugenia, Pratt-Chapman, Mandi L, Brandt, Cynthia A, Gueorguieva, Ralitza, Warren, Allison R, Workman, T Elizabeth, Zeng-Treitler, Qing, Goulet, Joseph L

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Improving patient comprehension and recall of discharge instructions by supplementing free texts with pictographs by Zeng-Treitler, Qing, Kim, Hyeoneui, Hunter, Martha

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Assessment of pictographs developed through a participatory design process using an online survey tool by Kim, Hyeoneui, Nakamura, Carlos, Zeng-Treitler, Qing

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Mining online social network data for biomedical research: a comparison of clinicians' and patients' perceptions about amyotrophic lateral sclerosis treatments by Nakamura, Carlos, Bromberg, Mark, Bhargava, Shivani, Wicks, Paul, Zeng-Treitler, Qing

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Evaluation of a pictograph enhancement system for patient instruction: a recall study by Zeng-Treitler, Qing, Perri, Seneca, Nakamura, Carlos, Kuang, Jinqiu, Hill, Brent, Bui, Duy Duc An, Stoddard, Gregory J, Bray, Bruce E

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Identification and extraction of family history information from clinical reports by Goryachev, Sergey, Kim, Hyeoneui, Zeng-Treitler, Qing

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Understanding Demographic Risk Factors for Adverse Outcomes in COVID-19 Patients: Explanation of a Deep Learning Model by Shao, Yijun, Ahmed, Ali, Liappis, Angelike P., Faselis, Charles, Nelson, Stuart J., Zeng-Treitler, Qing

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