Ok-Ran Jeong
Biographic Data
| ID | 7864255 |
|---|---|
| NAME | Ok-Ran Jeong |
| GIVEN NAMES | Ok-Ran |
| FAMILY NAME | Jeong |
| SIGNATURE | JEONG O |
| AFFILIATIONS | Gachon University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
The Impact of Signals Transmission on Patients’ Choice through E-Consultation Websites
(1) Background: The COVID-19 pandemic has dramatically and rapidly changed the overall picture of healthcare in the way how doctors care for their patients. Due to the significant strain on hospitals and medical facilities, the popularity of web-based medical consultation has drawn the focus of researchers during the deadly coronavirus disease (COVID-19) in the United States. Healthcare organizations are now reacting to COVID-19 by rapidly adopti…
Detecting Topic and Sentiment Trends in Physician Rating Websites
(1) Background: Physician rating websites (PRWs) are a rich resource of information where individuals learn other people response to various health problems. The current study aims to investigate and analyze the people top concerns and sentiment dynamics expressed in physician online reviews (PORs). (2) Methods: Text data were collected from four U.S.-based PRWs during the three time periods of 2018, 2019 and 2020. Based on the dynamic topic mode…
No prominent works on this page.
The Impact of Signals Transmission on Patients’ Choice through E-Consultation Websites
(1) Background: The COVID-19 pandemic has dramatically and rapidly changed the overall picture of healthcare in the way how doctors care for their patients. Due to the significant strain on hospitals and medical facilities, the popularity of web-based medical consultation has drawn the focus of researchers during the deadly coronavirus disease (COVID-19) in the United States. Healthcare organizations are now reacting to COVID-19 by rapidly adopti…
Detecting Topic and Sentiment Trends in Physician Rating Websites
(1) Background: Physician rating websites (PRWs) are a rich resource of information where individuals learn other people response to various health problems. The current study aims to investigate and analyze the people top concerns and sentiment dynamics expressed in physician online reviews (PORs). (2) Methods: Text data were collected from four U.S.-based PRWs during the three time periods of 2018, 2019 and 2020. Based on the dynamic topic mode…
Computer Science (2 works) · Psychology (2 works) · Computational and Text Analysis Methods (1 work) · Customer Service Quality and Loyalty (1 work) · Data science (1 work) · Digital Marketing and Social Media (1 work) · Diverse Approaches in Healthcare and Education Studies (1 work) · Econometric analysis (1 work) · Econometric model (1 work) · Econometrics (1 work)