Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29212, first published .
Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation

Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation

Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation

Dohyun Park   1 * , MA ;   Soo Jin Cho   2 * , MD ;   Kyunga Kim   1, 3 * , PhD ;   Hyunki Woo   4 , MA ;   Jee Eun Kim   2 , MD ;   Jin-Young Lee   2 , MD, PhD ;   Janghyun Koh   2 , MD ;   JeanHyoung Lee   5 , PhD ;   Jong Soo Choi   5 , PhD ;   Dong Kyung Chang   1, 6 , MD, PhD ;   Yoon-Ho Choi   2 , MD, PhD ;   Ji In Chung   2 , MD ;   Won Chul Cha   1, 5, 7 , MD ;   Ok Soon Jeong   5 , MA ;   Se Yong Jekal   5 , BSc ;   Mira Kang   1, 2, 5 , MD, PhD

1 Department of Digital Health, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea

2 Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

3 Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea

4 Data Science Team, Evidnet Inc, Gyeonggi-do, Republic of Korea

5 Digital Innovation Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

6 Division of Gastroenterology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

7 Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Mira Kang, MD, PhD
  • Department of Digital Health
  • Samsung Advanced Institute of Health Sciences and Technology
  • Sungkyunkwan University
  • 81 Irwon-ro
  • Gangnam-gu
  • Seoul, 06351
  • Republic of Korea
  • Phone: 82 1099336838
  • Fax: 82 234101000
  • Email: mira90.kang@samsung.com