In-seok Song
Biographic Data
| ID | 5774727 |
|---|---|
| NAME | In-seok Song |
| GIVEN NAMES | In-seok |
| FAMILY NAME | Song |
| SIGNATURE | SONG I |
| AFFILIATIONS | Department of Oral and Maxillofacial Surgery, Korea University Anam Hospital, Seoul 02841, Korea |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data
By using machine learning, we established a valid prediction model for PTB. PTB has strong associations with GERD and infertility. Pregnant women need close surveillance for gastrointestinal and obstetric risks at the same time
Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data
This study employs machine learning and population data for testing the associations of preterm birth with inflammatory bowel disease (IBD), salivary gland disease, socioeconomic status and medication history, including proton pump inhibitors. The source of population-based retrospective cohort data was the Korea National Health Insurance Service claims data for all women aged 25-40 years and who experience their first childbirths as singleton pr…
Development of post-evaluation model for future and emerging technology item reflecting environmental changes
Development of post-evaluation model for future and emerging technology item reflecting environmental changes
Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data
This study employs machine learning and population data for testing the associations of preterm birth with inflammatory bowel disease (IBD), salivary gland disease, socioeconomic status and medication history, including proton pump inhibitors. The source of population-based retrospective cohort data was the Korea National Health Insurance Service claims data for all women aged 25-40 years and who experience their first childbirths as singleton pr…
Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data
By using machine learning, we established a valid prediction model for PTB. PTB has strong associations with GERD and infertility. Pregnant women need close surveillance for gastrointestinal and obstetric risks at the same time
Disease (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Population (2 works) · Pregnancy (2 works) · Pregnancy and Medication Impact (2 works) · Pregnancy and preeclampsia studies (2 works) · Preterm Birth and Chorioamnionitis (2 works) · Socioeconomic status (2 works)