Cargando…
Pre-existing and machine learning-based models for cardiovascular risk prediction
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has attracted attention in analyzing increasingly large, complex healthcare data. We assessed discrimination and calibration of pre-existing cardiovascular risk prediction models and developed machine le...
Autores principales: | Cho, Sang-Yeong, Kim, Sun-Hwa, Kang, Si-Hyuck, Lee, Kyong Joon, Choi, Dongjun, Kang, Seungjin, Park, Sang Jun, Kim, Tackeun, Yoon, Chang-Hwan, Youn, Tae-Jin, Chae, In-Ho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076166/ https://www.ncbi.nlm.nih.gov/pubmed/33903629 http://dx.doi.org/10.1038/s41598-021-88257-w |
Ejemplares similares
-
Mortality reduction with physical activity in patients with and without cardiovascular disease
por: Jeong, Sang-Woo, et al.
Publicado: (2019) -
Prediction of Intracranial Aneurysm Risk using Machine Learning
por: Heo, Jaehyuk, et al.
Publicado: (2020) -
Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network
por: Kim, Tackeun, et al.
Publicado: (2018) -
Comparison of Continuous ECG Monitoring by Wearable Patch Device and Conventional Telemonitoring Device
por: Choi, Wonsuk, et al.
Publicado: (2020) -
Blood Pressure Control and Cardiovascular Outcomes: Real-world Implications of the 2017 ACC/AHA Hypertension Guideline
por: Lee, Ji Hyun, et al.
Publicado: (2018)