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Yuanfang Ren

Showing results (11-20 of 45) with videos related to

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Clinical Journal of the American Society of Nephrology : CJASN|February 7, 2023
Digital Health Transformers and Opportunities for Artificial Intelligence-Enabled NephrologyBenjamin Shickel, Tyler J Loftus, Yuanfang Ren, et al.
Scientific Reports|October 18, 2023
Clinical courses of acute kidney injury in hospitalized patients: a multistate analysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Arxiv|March 22, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate AnalysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Environmental Epidemiology (Philadelphia, Pa.)|July 16, 2025
Analysis of social determinants of health and extreme climate events: Identifying vulnerable populations and health outcomes in JacksonvilleYuanfang Ren, Esra Adiyeke, Ziyuan Guan, et al.
Surgery|January 13, 2021
Reinforcement learning in surgeryShounak Datta, Yanjun Li, Matthew M Ruppert, et al.
Journal of Nephrology|March 21, 2025
Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort studyEsra Adiyeke, Yuanfang Ren, Shmuel Fogel, et al.
JAMA Surgery|April 29, 2026
MySurgeryRisk Model Predictions of Postoperative Complications and MortalityYuanfang Ren, Esra Adiyeke, Ziyuan Guan, et al.
Frontiers in Digital Health|November 28, 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networksBenjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, et al.
Journal of Nephrology|September 16, 2024
Methods for phenotyping adult patients with acute kidney injury: a systematic reviewAnjay P Shah, William Snead, Anshul Daga, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|April 8, 2024
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health RecordsMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
Clinical Journal of the American Society of Nephrology : CJASN|February 7, 2023
Digital Health Transformers and Opportunities for Artificial Intelligence-Enabled NephrologyBenjamin Shickel, Tyler J Loftus, Yuanfang Ren, et al.
Scientific Reports|October 18, 2023
Clinical courses of acute kidney injury in hospitalized patients: a multistate analysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Arxiv|March 22, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate AnalysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Environmental Epidemiology (Philadelphia, Pa.)|July 16, 2025
Analysis of social determinants of health and extreme climate events: Identifying vulnerable populations and health outcomes in JacksonvilleYuanfang Ren, Esra Adiyeke, Ziyuan Guan, et al.
Surgery|January 13, 2021
Reinforcement learning in surgeryShounak Datta, Yanjun Li, Matthew M Ruppert, et al.
Journal of Nephrology|March 21, 2025
Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort studyEsra Adiyeke, Yuanfang Ren, Shmuel Fogel, et al.
JAMA Surgery|April 29, 2026
MySurgeryRisk Model Predictions of Postoperative Complications and MortalityYuanfang Ren, Esra Adiyeke, Ziyuan Guan, et al.
Frontiers in Digital Health|November 28, 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networksBenjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, et al.
Journal of Nephrology|September 16, 2024
Methods for phenotyping adult patients with acute kidney injury: a systematic reviewAnjay P Shah, William Snead, Anshul Daga, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|April 8, 2024
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health RecordsMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Pageof 5