Jihoon Oh

Biographic Data

ID7970251
NAMEJihoon Oh
GIVEN NAMESJihoon
FAMILY NAMEOh
SIGNATUREOH J
AFFILIATIONSCatholic University of Korea
ORCID0000-0003-1114-976X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2024
H-INDEX0

  • Development of depression detection algorithm using text scripts of routine psychiatric interview

    Open AccessJihoon Oh, Taekgyu Lee et al.ARTICLEFrontiers in Psychiatry2024

    This is a qualitative and retrospective study to develop a tool to detect depression against patients without depression based on the text scripts of psychiatric interview, suggesting a novel and practical approach to understand the emotional characteristics of depression patients and to use them to detect the diagnosis of depression based on machine learning methods. This model could assist psychiatrists in clinical settings who conduct routine …

  • A Deep Learning Algorithm to Predict Hazardous Drinkers and the Severity of Alcohol-Related Problems Using K-NHANES

    Open AccessSuk-Young Kim, Taesung Park et al.ARTICLEFrontiers in Psychiatry2021

    Purpose: The number of patients with alcohol-related problems is steadily increasing. A large-scale survey of alcohol-related problems has been conducted. However, studies that predict hazardous drinkers and identify which factors contribute to the prediction are limited. Thus, the purpose of this study was to predict hazardous drinkers and the severity of alcohol-related problems of patients using a deep learning algorithm based on a large-scale…

  • Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm

    Open AccessJihoon Oh, Baek‐Lok Oh et al.ARTICLEFrontiers in Psychiatry2020

    The deep learning algorithm showed good performance in detecting schizophrenia and identified relevant structural features from structural brain MRI data; it had an acceptable classification performance in a separate group of patients at an earlier stage of the disease. Deep learning can be used to delineate the structural characteristics of schizophrenia and to provide supplementary diagnostic information in clinical settings

  • Association Between Macronutrients Intake and Depression in the United States and South Korea

    Open AccessJihoon Oh, Kyongsik Yun et al.ARTICLEFrontiers in Psychiatry2020

    Although the risk for depression appears to be related to daily dietary habits, how the proportion of major macronutrients affects the occurrence of depression remains largely unknown. This study aims to estimate the association between macronutrients (i.e., carbohydrate, protein, fat) and depression through national survey datasets from the United States and South Korea. Association between the prevalence of depression and each macronutrient was…

  • Classification of Suicide Attempts through a Machine Learning Algorithm Based on Multiple Systemic Psychiatric Scales

    Open AccessJihoon Oh, Kyongsik Yun et al.ARTICLEFrontiers in Psychiatry2017

    Classification and prediction of suicide attempts in high-risk groups is important for preventing suicide. The purpose of this study was to investigate whether the information from multiple clinical scales has classification power for identifying actual suicide attempts. Patients with depression and anxiety disorders ( N = 573) were included, and each participant completed 31 self-report psychiatric scales and questionnaires about their history o…