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Disambiguation of "Song, Wenyu"

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Using EHR Data and Machine Learning Methods to Predict Fall Injury.

, , , , , , , , , , , , and . AMIA, AMIA, (2022)

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Wenyu Huo

Wenyu Dong

Song Song

Song Song

Song-Hak Song-Schreff

 

Other publications of authors with the same name

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder., , , and . ICDM, page 1079-1084. IEEE, (2023)Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-Operative Opioid Prescribing: Development and Testing of Draft Specifications., , , , , , , , and . AMIA, AMIA, (2020)Using EHR Data and Machine Learning Methods to Predict Fall Injury., , , , , , , , , and 3 other author(s). AMIA, AMIA, (2022)Predicting pressure injury using nursing assessment phenotypes and machine learning methods., , , , , , and . J. Am. Medical Informatics Assoc., 28 (4): 759-765 (2021)Testing a Novel Inpatient Respiratory Depression Electronic Clinical Quality Measure (eCQM) for Orthopedic Practice in Two Large U.S. Health Systems., , , , , , , , , and 4 other author(s). MedInfo, volume 290 of Studies in Health Technology and Informatics, page 395-399. IOS Press, (2021)Personalized treatment for type 2 diabetes using weighted k-nearest neighbors., , , , and . AMIA, AMIA, (2019)Facial Action Unit Detection Based on Transformer and Attention Mechanism., , and . ICIG (2), volume 12889 of Lecture Notes in Computer Science, page 461-472. Springer, (2021)Development and Validation of an Extraction Tool for Identifying Signs and Symptoms of Venous Thromboembolism in Primary Care Clinical Notes., , , , , , , , and . AMIA, AMIA, (2022)Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care., , , , , , , , , and 2 other author(s). AMIA, AMIA, (2022)Formative Evaluation of College Students' Online English Learning Based on Learning Behavior Analysis., , , and . Int. J. Emerg. Technol. Learn., 17 (10): 240-255 (May 2022)