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Seung Seok Han

Seoul National University · Medicine

About the Lab

Professor Seung Seok Han's research lab specializes in critical care medicine and nephrology, with a strong focus on improving clinical outcomes in patients with acute and chronic kidney disease. The lab applies advanced data science techniques—such as machine learning, deep learning, and predictive modeling—to enhance risk stratification and mortality prediction in intensive care and dialysis populations. Key research directions include developing AI-driven tools for early detection of complications like intradialytic hypotension and acute kidney injury, as well as investigating metabolic and body composition factors influencing long-term outcomes in elderly and critically ill patients. The lab integrates clinical data with biostatistical and computational methods to advance precision medicine in renal and critical care settings.

acute kidney injurymachine learningdialysispredictive modelingcritical care

Research Overview

Papers
299
Total Citations
4,819
Papers (5y)
126
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
126total
2022
2023
2024
2025
2026
Citations per year (5y)
986total
20222023202420252026

Selected Papers

15
1
Article|131 citations·2020
Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy
Min Woo Kang, Jayoun Kim, Dong Ki Kim, Kook‐Hwan Oh, Kwon Wook Joo, Yon Su Kim, Seung Seok Han
SJR Q1Critical CareOA

BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing continuous renal replacement therapy (CRRT) for severe acute kidney injury. Accordingly, the present study applies machine learning algorithms to improve prediction accuracy for this patient subset. METHODS: We randomly divided a total of 1571 adult pa

NephrologyMedicine
2
Article|125 citations·2010
Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians
Seung Seok Han, Ki Woong Kim, Kwang‐Il Kim, Ki Young Na, Dong‐Wan Chae, Suhnggwon Kim, Ho Jun Chin
SJR Q1Journal of the American Geriatrics SocietyOA

OBJECTIVES: To evaluate the correlation between body mass index (BMI), body composition, and all-cause mortality in an elderly Asian population. DESIGN: A prospective observational cohort study with 3.5-year follow-up. SETTING: The Korean Longitudinal Study on Health and Aging Project for elderly residents in Seongnam City, Korea. PARTICIPANTS: Eight hundred seventy-seven subjects aged 65 and older for whom baseline body composition data was available. MEASUREMENTS: BMI, waist circumference, and

PhysiologyMedicine
3
Article|109 citations·2010
High Serum Bilirubin Is Associated with the Reduced Risk of Diabetes Mellitus and Diabetic Nephropathy
Seung Seok Han, Ki Young Na, Dong‐Wan Chae, Yon Su Kim, Suhnggwon Kim, Ho Jun Chin
SJR Q2The Tohoku Journal of Experimental MedicineOA

Several studies have suggested a potential effect of serum bilirubin as an antioxidant and cytoprotectant factor. For the results presented here, we evaluated the correlation between serum bilirubin and diabetes mellitus (DM) or chronic kidney disease originated from DM (DMCKD) in a Korean population. We used a cross-sectional, population-based design to examine 93,909 subjects (aged 18-96 years, 53.0% male). The trend of P values in the odds ratios for being DM and DMCKD was calculated using pa

Molecular BiologyBiochemistry, Genetics and Molecular Biology
4
Article|95 citations·2021
Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension
Hojun Lee, Donghwan Yun, Jayeon Yoo, KiYoon Yoo, Yong Chul Kim, Dong Ki Kim, Kook‐Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak, Seung Seok Han
SJR Q1Clinical Journal of the American Society of NephrologyOA

Background and objectives Intradialytic hypotension has high clinical significance. However, predicting it using conventional statistical models may be difficult because several factors have interactive and complex effects on the risk. Herein, we applied a deep learning model (recurrent neural network) to predict the risk of intradialytic hypotension using a timestamp-bearing dataset. Design, setting, participants, & measurements We obtained 261,647 hemodialysis sessions with 1,600,531 indep

SurgeryMedicine
5
Review|93 citations·2015
Dialysis Modality and Mortality in the Elderly
Seung Seok Han, Jung Tak Park, Soohee Kang, Kyoung Hoon Kim, Dong‐Ryeol Ryu, Hyunwook Kim, Kwon Wook Joo, Chun Soo Lim, Yon Su Kim, Dong Ki Kim
SJR Q1Clinical Journal of the American Society of Nephrology

A meta-analysis that included results in Korean patients suggests a higher risk for death in elderly patients receiving PD than in those receiving HD.

NephrologyMedicine
6
Article|72 citations·2015
Anemia Is a Risk Factor for Acute Kidney Injury and Long-Term Mortality in Critically Ill Patients
Seung Seok Han, Seon Ha Baek, Shin Young Ahn, Ho Jun Chin, Ki Young Na, Dong‐Wan Chae, Sejoong Kim
SJR Q2The Tohoku Journal of Experimental MedicineOA

Acute kidney injury (AKI) is a major health concern, because AKI is related with an increase in morbidity and mortality. Anemia is related to AKI in several clinical settings. However, the relationship between anemia and AKI and the effect of anemia on long-term mortality are unresolved in critically ill patients. A total of 2,145 patients admitted to the intensive care unit were retrospectively analyzed. We calculated a threshold value of hemoglobin associated with an increased risk of AKI and

NephrologyMedicine
7
Article|63 citations·2009
Impact of recurrent disease and chronic allograft nephropathy on the long-term allograft outcome in patients with IgA nephropathy
Seung Seok Han, Wooseong Huh, Su Kil Park, Curie Ahn, Jin Suk Han, Suhnggwon Kim, Yon Su Kim
SJR Q1Transplant International

Although recurrent IgA nephropathy (IgAN) may lead to graft dysfunction after transplantation, donation from living related donor (LRD), with whom the risk of recurrence may be higher, is not a contraindication. Herein, we evaluated the natural history of allograft in recipients with IgAN and the risk factors influencing long-term allograft outcome. Recurrence rate and graft survival were assessed retrospectively in 221 IgAN patients, including transplants from 139 LRDs (62.9%). Ten-year cumulat

NephrologyMedicine
8
Article|62 citations·2013
Duration of acute kidney injury and mortality in critically ill patients: a retrospective observational study
Seung Seok Han, Sejoong Kim, Shin Young Ahn, Jeonghwan Lee, Dong Ki Kim, Ho Jun Chin, Dong‐Wan Chae, Ki Young Na
SJR Q2BMC NephrologyOA

BACKGROUND: The addition of relevant parameters to acute kidney injury (AKI) criteria might allow better prediction of patient mortality than AKI criteria alone. Here, we evaluated whether inclusion of AKI duration could address this issue. METHODS: AKI was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines in 2,143 critically ill patients, within 15 days of patient admission. AKI cases were categorized according to tertiles of AKI duration: 1st tertile, 1-2 da

NephrologyMedicine
9
Article|58 citations·2016
The Role of TNF Superfamily Member 13 in the Progression of IgA Nephropathy
Seung Seok Han, Seung Hee Yang, Murim Choi, Hang‐Rae Kim, Kwangsoo Kim, Sangmoon Lee, Kyung Chul Moon, Joo Young Kim, Hajeong Lee, Jung Pyo Lee, Ji Yong Jung, Sejoong Kim
SJR Q1Journal of the American Society of NephrologyOA

TNF superfamily member 13 (TNFSF13) has been identified as a susceptibility gene for IgA nephropathy in recent genetic studies. However, the role of TNFSF13 in the progression of IgA nephropathy remains unresolved. We evaluated two genetic polymorphisms (rs11552708 and rs3803800) and plasma levels of TNFSF13 in 637 patients with IgA nephropathy, and determined the risk of ESRD according to theses variable. Neither of the examined genetic polymorphisms associated with a clinical outcome of IgA ne

NephrologyMedicine
10
Article|49 citations·2016
Monitoring the Intracellular Tacrolimus Concentration in Kidney Transplant Recipients with Stable Graft Function
Seung Seok Han, Seung Hee Yang, Min Chang Kim, Joo‐Youn Cho, Sangil Min, Jung Pyo Lee, Dong Ki Kim, Jongwon Ha, Yon Su Kim
SJR Q1PLoS ONEOA

Although monitoring the intracellular concentration of immunosuppressive agents may be a promising approach to individualizing the therapy after organ transplantation, additional studies on this issue are needed prior to its clinical approval. We investigated the relationship between intracellular and whole blood concentrations of tacrolimus (IC-TAC and WB-TAC, respectively), the factors affecting this relationship, and the risk of rejection based upon IC-TAC in stable kidney recipients. Both IC

TransplantationMedicine
11
Article|49 citations·2017
C-Reactive Protein Predicts Acute Kidney Injury and Death After Coronary Artery Bypass Grafting
Seung Seok Han, Dong Ki Kim, Sejoong Kim, Ho Jun Chin, Dong‐Wan Chae, Ki Young Na
SJR Q1The Annals of Thoracic Surgery
Cardiology and Cardiovascular MedicineMedicine
12
Article|48 citations·2014
U-Shape Relationship of White Blood Cells with Acute Kidney Injury and Mortality in Critically Ill Patients
Seung Seok Han, Shin Young Ahn, Jiwon Ryu, Seon Ha Baek, Kwang‐Il Kim, Ho Jun Chin, Ki Young Na, Dong‐Wan Chae, Sejoong Kim
SJR Q2The Tohoku Journal of Experimental MedicineOA

Low or high counts of white blood cells (WBCs) and WBC subtypes can be a predictor of morbidity and mortality in several clinical settings. However, the correlations of WBC and its subtypes with acute kidney injury (AKI) and mortality remain unresolved in critically ill patients. The counts of WBC and subtypes, such as neutrophil, lymphocyte, monocyte, and eosinophil, were measured in 2,079 patients admitted to the intensive care unit (ICU) from June 2004 through June 2010. The non-linear relati

EpidemiologyMedicine
13
Article|48 citations·2020
Immune cell composition in normal human kidneys
Jun-Gyu Park, Myeongsu Na, Min-Gang Kim, Su Hwan Park, Hack June Lee, Dong Ki Kim, Cheol Kwak, Yon Su Kim, Sunghoe Chang, Kyung Chul Moon, Dong‐Sup Lee, Seung Seok Han
SJR Q1Scientific ReportsOA

Abstract An understanding of immunological mechanisms in kidney diseases has advanced using mouse kidneys. However, the profiling of immune cell subsets in human kidneys remains undetermined, particularly compared with mouse kidneys. Normal human kidneys were obtained from radically nephrectomised patients with urogenital malignancy (n = 15). Subsequently, human kidney immune cell subsets were analysed using multicolor flow cytometry and compared with subsets from C57BL/6 or BALB/c mice under sp

ImmunologyImmunology and Microbiology
14
Article|44 citations·2014
Proteinuria and hematuria are associated with acute kidney injury and mortality in critically ill patients: a retrospective observational study
Seung Seok Han, Shin Young Ahn, Jiwon Ryu, Seon Ha Baek, Ho Jun Chin, Ki Young Na, Dong‐Wan Chae, Sejoong Kim
SJR Q2BMC NephrologyOA

Proteinuria and hematuria are associated with the risks of AKI and mortality in critically ill patients. Additionally, these findings had a synergistic effect with AKI on mortality.

NephrologyMedicine
15
Article|42 citations·2019
Hyperphosphatemia and risks of acute kidney injury, end-stage renal disease, and mortality in hospitalized patients
Hongran Moon, Ho Jun Chin, Ki Young Na, Kwon Wook Joo, Yon Su Kim, Sejoong Kim, Seung Seok Han
SJR Q2BMC NephrologyOA

Abstract Background Hyperphosphatemia is associated with vascular calcification and bone mineral disorders and is a major concern among patients with chronic kidney disease (CKD). However, the relationship between hyperphosphatemia and renal outcome in non-CKD patients has not been studied. Furthermore, the clinical implications of hyperphosphatemia in relation to the risks of acute kidney injury (AKI), end-stage renal disease (ESRD), and mortality after hospitalization remain unresolved. Method

NephrologyMedicine

Research Areas

NephrologyGeneticsCardiology and Cardiovascular MedicineImmunologyPhysiologyEpidemiology

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