This paper is in the following e-collection/theme issue:

Machine Learning (1501) Wearable Devices and Sensors (903) Development of Novel Medical Devices and Innovations for Existing Devices (83) New Methods (963) Decision Support for Health Professionals (1210) Hypertension Prevention and Treatment (229) Computer-Aided Diagnosis (135)

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

Authors of this article:

Dohyun Park1 Author Orcid Image ;   Soo Jin Cho2 Author Orcid Image ;   Kyunga Kim1, 3 Author Orcid Image ;   Hyunki Woo4 Author Orcid Image ;   Jee Eun Kim2 Author Orcid Image ;   Jin-Young Lee2 Author Orcid Image ;   Janghyun Koh2 Author Orcid Image ;   JeanHyoung Lee5 Author Orcid Image ;   Jong Soo Choi5 Author Orcid Image ;   Dong Kyung Chang1, 6 Author Orcid Image ;   Yoon-Ho Choi2 Author Orcid Image ;   Ji In Chung2 Author Orcid Image ;   Won Chul Cha1, 5, 7 Author Orcid Image ;   Ok Soon Jeong5 Author Orcid Image ;   Se Yong Jekal5 Author Orcid Image ;   Mira Kang1, 2, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Cheung M, Sabharwal A, Coté G, Veeraraghavan A. Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation. IEEE Transactions on Biomedical Engineering 2024;71(12):3569 View