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Nam-Jun Cho

Showing results (21-30 of 57) with videos related to

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Journal of Clinical Medicine|August 26, 2022
The Higher the CKD Stage, the Higher the Psychological Stress in Patients with CKD during COVID-19 PandemicKyung-Mi Lee, Ji-Sun Kim, Sungjo Hwang, et al.
Scientific Reports|February 24, 2019
Predicting intradialytic hypotension using heart rate variabilitySamel Park, Wook-Joon Kim, Nam-Jun Cho, et al.
Frontiers in Cardiovascular Medicine|May 19, 2022
Transiently Observed Trace Albuminuria on Urine Dipstick Test Is Associated With All-Cause Death, Cardiovascular Death, and Incident Chronic Kidney Disease: A National Health Insurance Service-National Sample Cohort in KoreaSamel Park, Jiyoung Woo, Subeen Leem, et al.
Taehan Yongsang Uihakhoe Chi|October 14, 2022
[Evaluation of Cerebral Blood Flow Using Arterial Spin Labeling in Patients with Chronic Kidney Disease]Se Won Oh, Samel Park, Nam-Jun Cho, et al.
Scientific Reports|September 19, 2019
Hemoperfusion leads to impairment in hemostasis and coagulation process in patients with acute pesticide intoxicationSamel Park, Md-Imtiazul Islam, Ji-Hun Jeong, et al.
Journal of Clinical Medicine|April 23, 2022
Clinical Safety of Expanded Hemodialysis Compared with Hemodialysis Using High-Flux Dialyzer during a Three-Year CohortNam-Jun Cho, Seung-Hyun Jeong, Ka Young Lee, et al.
Journal of Medical Internet Research|March 18, 2025
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective StudyNam-Jun Cho, Inyong Jeong, Se-Jin Ahn, et al.
Journal of Clinical Medicine|January 28, 2021
New Model for Predicting the Presence of Coronary Artery CalcificationSamel Park, Min Hong, HwaMin Lee, et al.
Kidney Research and Clinical Practice|June 27, 2024
A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injuryNam-Jun Cho, Inyong Jeong, Yeongmin Kim, et al.
Sensors (Basel, Switzerland)|November 17, 2020
Developing an Individual Glucose Prediction Model Using Recurrent Neural NetworkDae-Yeon Kim, Dong-Sik Choi, Jaeyun Kim, et al.
Pageof 6

Showing results (21-30 of 57) with videos related to

Sort By:
Pageof 6
Journal of Clinical Medicine|August 26, 2022
The Higher the CKD Stage, the Higher the Psychological Stress in Patients with CKD during COVID-19 PandemicKyung-Mi Lee, Ji-Sun Kim, Sungjo Hwang, et al.
Scientific Reports|February 24, 2019
Predicting intradialytic hypotension using heart rate variabilitySamel Park, Wook-Joon Kim, Nam-Jun Cho, et al.
Frontiers in Cardiovascular Medicine|May 19, 2022
Transiently Observed Trace Albuminuria on Urine Dipstick Test Is Associated With All-Cause Death, Cardiovascular Death, and Incident Chronic Kidney Disease: A National Health Insurance Service-National Sample Cohort in KoreaSamel Park, Jiyoung Woo, Subeen Leem, et al.
Taehan Yongsang Uihakhoe Chi|October 14, 2022
[Evaluation of Cerebral Blood Flow Using Arterial Spin Labeling in Patients with Chronic Kidney Disease]Se Won Oh, Samel Park, Nam-Jun Cho, et al.
Scientific Reports|September 19, 2019
Hemoperfusion leads to impairment in hemostasis and coagulation process in patients with acute pesticide intoxicationSamel Park, Md-Imtiazul Islam, Ji-Hun Jeong, et al.
Journal of Clinical Medicine|April 23, 2022
Clinical Safety of Expanded Hemodialysis Compared with Hemodialysis Using High-Flux Dialyzer during a Three-Year CohortNam-Jun Cho, Seung-Hyun Jeong, Ka Young Lee, et al.
Journal of Medical Internet Research|March 18, 2025
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective StudyNam-Jun Cho, Inyong Jeong, Se-Jin Ahn, et al.
Journal of Clinical Medicine|January 28, 2021
New Model for Predicting the Presence of Coronary Artery CalcificationSamel Park, Min Hong, HwaMin Lee, et al.
Kidney Research and Clinical Practice|June 27, 2024
A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injuryNam-Jun Cho, Inyong Jeong, Yeongmin Kim, et al.
Sensors (Basel, Switzerland)|November 17, 2020
Developing an Individual Glucose Prediction Model Using Recurrent Neural NetworkDae-Yeon Kim, Dong-Sik Choi, Jaeyun Kim, et al.
Pageof 6