Cargando…
Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm
Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in a deep learning algorithm. The objective of this study is to develop a deep learning algorithm for the classification and prediction of hypertension with BP-related factors based on the Korean Genome...
Autores principales: | Kim, Hyerim, Hwang, Seunghyeon, Lee, Suwon, Kim, Yoona |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690260/ https://www.ncbi.nlm.nih.gov/pubmed/36430024 http://dx.doi.org/10.3390/ijerph192215301 |
Ejemplares similares
-
Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4–7th Korea National Health and Nutrition Examination Survey
por: Kim, Hyerim, et al.
Publicado: (2021) -
Development of a Metabolic Syndrome Classification and Prediction Model for Koreans Using Deep Learning Technology: The Korea National Health and Nutrition Examination Survey (KNHANES) (2013–2018)
por: Kim, Hyerim, et al.
Publicado: (2023) -
A Structural Equation Modelling Approach to Determine Factors of Bone Mineral Density in Korean Women
por: Je, Minkyung, et al.
Publicado: (2021) -
Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients
por: Lacson, Ronilda C, et al.
Publicado: (2018) -
Algorithm for diagnosing hypertension using out‐of‐office blood pressure measurements
por: Kim, Je Sang, et al.
Publicado: (2021)