Prediction of the Hypertension Risk of the Elderly in Built Environments Based on the LSTM Deep Learning and Bayesian Fitting Method

Prediction of the Hypertension Risk of the Elderly in Built Environments Based on the LSTM Deep Learning and Bayesian Fitting Method

Hypertension has become the greatest risk factor for death in elderly populations. As factors influencing cardiovascular disease, indoor environmental parameters pose potential risks for older adults. In this study, elderly residents in Dalian (Liaoning Province, China) urban dwellings were selected...

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Bibliographic Details
Main Authors: Rui Zhu, Yang Lv, Zhimeng Wang, Xi Chen
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
indoor environment
smart building
health risk assessment
cardiovascular disease
LSTM deep learning
Bayesian fitting
Online Access:https://www.mdpi.com/2071-1050/13/10/5724

Internet

https://www.mdpi.com/2071-1050/13/10/5724

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