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Shintaro Tsuji

Showing results (21-30 of 25) with videos related to

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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse EventsYue Yu, Kathryn J Ruddy, Andrew Wen, et al.
JMIR Medical Informatics|June 13, 2020
Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development StudyYue Yu, Kathryn Ruddy, Aaron Mansfield, et al.
Journal of Biomedical Informatics|October 18, 2019
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summariesNa Hong, Andrew Wen, Daniel J Stone, et al.
Journal of the American College of Radiology : JACR|October 14, 2023
Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI in Patients With Low-Grade CancerHirotsugu Nakai, Hiroki Nagayama, Hiroaki Takahashi, et al.
Journal of the American College of Radiology : JACR|October 11, 2023
Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI Performed for Clinical Suspicion of Prostate CancerHiroki Nagayama, Hirotsugu Nakai, Hiroaki Takahashi, et al.
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Showing results (21-30 of 25) with videos related to

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You have reached the last page of results.This site can display upto 25 results.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse EventsYue Yu, Kathryn J Ruddy, Andrew Wen, et al.
JMIR Medical Informatics|June 13, 2020
Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development StudyYue Yu, Kathryn Ruddy, Aaron Mansfield, et al.
Journal of Biomedical Informatics|October 18, 2019
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summariesNa Hong, Andrew Wen, Daniel J Stone, et al.
Journal of the American College of Radiology : JACR|October 14, 2023
Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI in Patients With Low-Grade CancerHirotsugu Nakai, Hiroki Nagayama, Hiroaki Takahashi, et al.
Journal of the American College of Radiology : JACR|October 11, 2023
Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI Performed for Clinical Suspicion of Prostate CancerHiroki Nagayama, Hirotsugu Nakai, Hiroaki Takahashi, et al.
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