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Journal of Medical Internet Research
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May 2, 2025
Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study
Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, et al.
The Korean Journal of Internal Medicine
|
October 29, 2024
Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Nam-Jun Cho, Se-Jin Ahn, et al.
Mycobiology
|
December 9, 2024
Identification of <i>Pseudoperonospora cubensis</i> RxLR Effector Genes <i>via</i> Genome Sequencing
Rahel Dinsa Guta, Marc Semunyana, Saima Arif, et al.
Kidney Research and Clinical Practice
|
June 16, 2026
Impact of acute kidney injury labeling strategies in hospitalized patients: suggestion for a dual-alert clinical decision support system
Se-Jin Ahn, Nam-Jun Cho, Inyong Jeong, et al.
Toxics
|
October 28, 2025
An In-Hospital Mortality Prediction Model for Acute Pesticide Poisoning in the Emergency Department
Yoonseo Jeon, Da-Eun Kim, Inyong Jeong, et al.
Journal of Medical Systems
|
April 8, 2025
Personalized Health Prediction AI Models Using Transfer Learning and Strategic Overfitting on Wearable Device Data
Inyong Jeong, Seokjin Kong, Yeongmin Kim, et al.
Journal of Medical Internet Research
|
March 18, 2025
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study
Nam-Jun Cho, Inyong Jeong, Se-Jin Ahn, et al.
Scientific Reports
|
March 3, 2026
Multi task learning based early prediction model for antibiotic resistance using multi institutional cohort data
Yeongmin Kim, Inyong Jeong, Jin-Hyun Park, 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 injury
Nam-Jun Cho, Inyong Jeong, Yeongmin Kim, et al.
Scientific Reports
|
April 18, 2026
Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data
Seokjin Kong, Yihyun Kim, Inyong Jeong, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Journal of Medical Internet Research
|
May 2, 2025
Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study
Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, et al.
The Korean Journal of Internal Medicine
|
October 29, 2024
Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Nam-Jun Cho, Se-Jin Ahn, et al.
Mycobiology
|
December 9, 2024
Identification of <i>Pseudoperonospora cubensis</i> RxLR Effector Genes <i>via</i> Genome Sequencing
Rahel Dinsa Guta, Marc Semunyana, Saima Arif, et al.
Kidney Research and Clinical Practice
|
June 16, 2026
Impact of acute kidney injury labeling strategies in hospitalized patients: suggestion for a dual-alert clinical decision support system
Se-Jin Ahn, Nam-Jun Cho, Inyong Jeong, et al.
Toxics
|
October 28, 2025
An In-Hospital Mortality Prediction Model for Acute Pesticide Poisoning in the Emergency Department
Yoonseo Jeon, Da-Eun Kim, Inyong Jeong, et al.
Journal of Medical Systems
|
April 8, 2025
Personalized Health Prediction AI Models Using Transfer Learning and Strategic Overfitting on Wearable Device Data
Inyong Jeong, Seokjin Kong, Yeongmin Kim, et al.
Journal of Medical Internet Research
|
March 18, 2025
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study
Nam-Jun Cho, Inyong Jeong, Se-Jin Ahn, et al.
Scientific Reports
|
March 3, 2026
Multi task learning based early prediction model for antibiotic resistance using multi institutional cohort data
Yeongmin Kim, Inyong Jeong, Jin-Hyun Park, 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 injury
Nam-Jun Cho, Inyong Jeong, Yeongmin Kim, et al.
Scientific Reports
|
April 18, 2026
Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data
Seokjin Kong, Yihyun Kim, Inyong Jeong, et al.
Page
of 2