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Journal of Cardiac Failure|March 18, 2022
Predicting Long-Term Mortality in Patients With Acute Heart Failure by Using Machine LearningJiesuck Park, In-Chang Hwang, Yeonyee E Yoon, et al.
Journal of the American Heart Association|September 19, 2025
Left Ventricular Mass-to-Strain Ratio to Predict Change in Left Ventricular Hypertrophy and Prognosis in Hypertensive Heart DiseaseIn-Chang Hwang, Hyue Mee Kim, Jiesuck Park, et al.
Plos One|February 12, 2025
CT imaging biomarkers to predict severity and prognosis of pulmonary hypertensionDo Won Yoon, Yeonyee E Yoon, In Chang Hwang, et al.
BMC Endocrine Disorders|July 10, 2023
Impact of glycemic control on the progression of aortic stenosis: a single-center cohort study using a common data modelIn-Chang Hwang, Seok Kim, Dachung Boo, et al.
European Heart Journal. Digital Health|March 2, 2026
Machine-learning-derived phenotypes of hypertensive patients using multidimensional clinical and echocardiographic data including strain imagingIn-Chang Hwang, Hyue Mee Kim, Jiesuck Park, et al.
Journal of Personalized Medicine|August 29, 2024
Superficial Anaplastic Lymphoma Kinase-Rearranged Myxoid Spindle Cell Neoplasm in the Buttock: A Case ReportJong-Hyup Kim, In-Chang Koh, Hoon Kim, et al.
ESC Heart Failure|January 4, 2022
Feasibility of the contraction-relaxation coupling index in outcome prediction for patients with acute heart failureJiesuck Park, In-Chang Hwang, Yeonyee E Yoon, et al.
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