Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients’ Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions
More than a quarter of all Americans are estimated to have multiple chronic conditions (MCC). It is known that shared modifiable lifestyle behaviors account for many common MCC. What is not precisely known is the dynamic effect of changes in lifestyle behaviors on the trajectories of MCC emergence....
Main Authors: | Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. Mccormick |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9656141/ |
Similar Items
-
A Comparison Between the MEWMA and Mahalanobis Distance Control Chart
by: Kawa Rashid
Published: (2021-12-01) -
An Improved Real-Time Contrasts Control Chart Using Novelty Detection and Variable Importance
by: Kwang-Su Shin, et al.
Published: (2019-01-01) -
Monitoring Blockchain Cryptocurrency Transactions to Improve the Trustworthiness of the Fourth Industrial Revolution (Industry 4.0)
by: Kamyar Sabri-Laghaie, et al.
Published: (2020-11-01) -
Monitoring Multinomial Logit Profiles via Log-Linear Models (Quality Engineering Conference Paper)
by: Rassoul Noorossana, et al.
Published: (2013-06-01) -
Multivariate Exponentially Weighted Moving Average Control Chart under Neutrosophic Environment: A Bootstrap Approach
by: M. B. Saritha, et al.
Published: (2024-08-01)