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Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study

Zhongkai Hu, Shiying Hao, Bo Jin, Andrew Young Shin, Chunqing Zhu, Min Huang, Yue Wang, Le Zheng, Dorothy Dai, Devore S Culver, Shaun T Alfreds, Todd Rogow, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng Ling

J Med Internet Res 2015;17(9):e219

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Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine

Shiying Hao, Tianyun Fu, Qian Wu, Bo Jin, Chunqing Zhu, Zhongkai Hu, Yanting Guo, Yan Zhang, Yunxian Yu, Terry Fouts, Phillip Ng, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G Sylvester, Eric Widen, Doff B McElhinney, Xuefeng B Ling

JMIR Med Inform 2017;5(3):e21

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A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study

Eric Luellen

JMIRx Med 2020;1(1):e23582

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Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine

Xiaofang Wang, Yan Zhang, Shiying Hao, Le Zheng, Jiayu Liao, Chengyin Ye, Minjie Xia, Oliver Wang, Modi Liu, Ching Ho Weng, Son Q Duong, Bo Jin, Shaun T Alfreds, Frank Stearns, Laura Kanov, Karl G Sylvester, Eric Widen, Doff B McElhinney, Xuefeng B Ling

J Med Internet Res 2019;21(5):e13260

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A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data

Chengyin Ye, Oliver Wang, Modi Liu, Le Zheng, Minjie Xia, Shiying Hao, Bo Jin, Hua Jin, Chunqing Zhu, Chao Jung Huang, Peng Gao, Gray Ellrodt, Denny Brennan, Frank Stearns, Karl G Sylvester, Eric Widen, Doff B McElhinney, Xuefeng Ling

J Med Internet Res 2019;21(7):e13719

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Peer Review of “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study”

Eric Abbott

JMIRx Med 2020;1(1):e24765

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Author Response to Peer Reviews of “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study”

Eric Luellen

JMIRx Med 2020;1(1):e24739

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Real-Time Web-Based Assessment of Total Population Risk of Future Emergency Department Utilization: Statewide Prospective Active Case Finding Study

Zhongkai Hu, Bo Jin, Andrew Y Shin, Chunqing Zhu, Yifan Zhao, Shiying Hao, Le Zheng, Changlin Fu, Qiaojun Wen, Jun Ji, Zhen Li, Yong Wang, Xiaolin Zheng, Dorothy Dai, Devore S Culver, Shaun T Alfreds, Todd Rogow, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng B Ling

Interact J Med Res 2015;4(1):e2

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Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning

Chengyin Ye, Tianyun Fu, Shiying Hao, Yan Zhang, Oliver Wang, Bo Jin, Minjie Xia, Modi Liu, Xin Zhou, Qian Wu, Yanting Guo, Chunqing Zhu, Yu-Ming Li, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G Sylvester, Eric Widen, Doff McElhinney, Xuefeng Ling

J Med Internet Res 2018;20(1):e22

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Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support

Eric Steven Kirkendall, Yizhao Ni, Todd Lingren, Matthew Leonard, Eric S Hall, Kristin Melton

J Med Internet Res 2019;21(5):e13047

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