Hyerim Kim
Biographic Data
| ID | 5946793 |
|---|---|
| NAME | Hyerim Kim |
| GIVEN NAMES | Hyerim |
| FAMILY NAME | Kim |
| SIGNATURE | KIM H |
| AFFILIATIONS | Gyeongsang National University |
| ORCID | 0000-0002-8103-3474 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm
Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in a deep learning algorithm. The objective of this study is to develop a deep learning algorithm for the classification and prediction of hypertension with BP-related factors based on the Korean Genome and Epidemiology Study-Ansan and Ansung baseline survey. We also investigated whether energy intake adjustment is adequate for deep learning algorithm…
Prevalence of lifetime psychiatric disorders and suicidality in adults with subthreshold posttraumatic stress disorder
This study found that subthreshold PTSD was associated with various psychiatric disorders and suicidality. Increased attention to the mental health of individuals with subthreshold PTSD is necessary. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present study aims to classify and predict associations between nutritional intake and risk of overweight/obesity, dyslipidemia, hypertension and T2DM by developing a DNN model, and to compare a DNN model with …
A Structural Equation Modelling Approach to Determine Factors of Bone Mineral Density in Korean Women
our study suggests that mineral intake (potassium, calcium, and phosphorus), age, and BMI are major contributors to BMD in Korean premenopausal and postmenopausal women aged 30-75 years
Policy reformer’s dream or nightmare
In this Forum we suggest that a growing intensity of contradictory public and private interests in education is a persistent force in education development stemming from the increasing centrality o
A Study on Translation Strategies of Culture-Specific Items
Policy reformer’s dream or nightmare
In this Forum we suggest that a growing intensity of contradictory public and private interests in education is a persistent force in education development stemming from the increasing centrality o
A Study on Translation Strategies of Culture-Specific Items
Policy reformer’s dream or nightmare
In this Forum we suggest that a growing intensity of contradictory public and private interests in education is a persistent force in education development stemming from the increasing centrality o
Prevalence of lifetime psychiatric disorders and suicidality in adults with subthreshold posttraumatic stress disorder
This study found that subthreshold PTSD was associated with various psychiatric disorders and suicidality. Increased attention to the mental health of individuals with subthreshold PTSD is necessary. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present study aims to classify and predict associations between nutritional intake and risk of overweight/obesity, dyslipidemia, hypertension and T2DM by developing a DNN model, and to compare a DNN model with …
A Structural Equation Modelling Approach to Determine Factors of Bone Mineral Density in Korean Women
our study suggests that mineral intake (potassium, calcium, and phosphorus), age, and BMI are major contributors to BMD in Korean premenopausal and postmenopausal women aged 30-75 years
Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm
Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in a deep learning algorithm. The objective of this study is to develop a deep learning algorithm for the classification and prediction of hypertension with BP-related factors based on the Korean Genome and Epidemiology Study-Ansan and Ansung baseline survey. We also investigated whether energy intake adjustment is adequate for deep learning algorithm…
Internal Medicine (4 works) · Medicine (4 works) · Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Cardiovascular Health and Risk Factors (2 works) · Environmental health (2 works) · Machine learning (2 works) · Nutritional Studies and Diet (2 works)