Song-Hee Cheon
Biographic Data
| ID | 7855900 |
|---|---|
| NAME | Song-Hee Cheon |
| GIVEN NAMES | Song-Hee |
| FAMILY NAME | Cheon |
| SIGNATURE | CHEON S |
| AFFILIATIONS | Youngsan University |
| ORCID | 0000-0003-1414-5430 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Utilization of Magnetic Resonance Imaging by Comorbidity of Patients with Dementia
Dementia produces major clinical and social problems that have catastrophic consequences for patients and their families. Dementia also complicates clinical care for other co-existing medical conditions. Magnetic Resonance Imaging (MRI) utilization is increasingly used for diagnostic purposes, such as early diagnosis of dementia and special examination of dementia. This study analyzed the utilization status and factors affecting use of MRI examin…
The Use of Deep Learning to Predict Stroke Patient Mortality
The increase in stroke incidence with the aging of the Korean population will rapidly impose an economic burden on society. Timely treatment can improve stroke prognosis. Awareness of stroke warning signs and appropriate actions in the event of a stroke improve outcomes. Medical service use and health behavior data are easier to collect than medical imaging data. Here, we used a deep neural network to detect stroke using medical service use and h…
A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data
A large number of people suffer from certain types of osteoarthritis, such as knee, hip, and spine osteoarthritis. A correct prediction of osteoarthritis is an essential step to effectively diagnose and prevent severe osteoarthritis. Osteoarthritis is commonly diagnosed by experts through manual inspection of patients' medical images, which are usually collected in hospitals. Checking the occurrence of osteoarthritis is somewhat time-consuming fo…
No prominent works on this page.
Utilization of Magnetic Resonance Imaging by Comorbidity of Patients with Dementia
Dementia produces major clinical and social problems that have catastrophic consequences for patients and their families. Dementia also complicates clinical care for other co-existing medical conditions. Magnetic Resonance Imaging (MRI) utilization is increasingly used for diagnostic purposes, such as early diagnosis of dementia and special examination of dementia. This study analyzed the utilization status and factors affecting use of MRI examin…
The Use of Deep Learning to Predict Stroke Patient Mortality
The increase in stroke incidence with the aging of the Korean population will rapidly impose an economic burden on society. Timely treatment can improve stroke prognosis. Awareness of stroke warning signs and appropriate actions in the event of a stroke improve outcomes. Medical service use and health behavior data are easier to collect than medical imaging data. Here, we used a deep neural network to detect stroke using medical service use and h…
A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data
A large number of people suffer from certain types of osteoarthritis, such as knee, hip, and spine osteoarthritis. A correct prediction of osteoarthritis is an essential step to effectively diagnose and prevent severe osteoarthritis. Osteoarthritis is commonly diagnosed by experts through manual inspection of patients' medical images, which are usually collected in hospitals. Checking the occurrence of osteoarthritis is somewhat time-consuming fo…
Medicine (3 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Computer Science (2 works) · Deep learning (2 works) · Emergency Medicine (2 works) · Machine learning (2 works) · Traditional Chinese Medicine Studies (2 works) · Acute Ischemic Stroke Management (1 work) · Artificial Intelligence in Healthcare (1 work)