Analyzing COVID-19 progression with Markov multistage models: insights from a Korean cohort
Abstract Background Understanding the progression and recovery process of COVID-19 is crucial for guiding public health strategies and developing targeted interventions. This longitudinal cohort study aims to elucidate the dynamics of COVID-19 severity progression and evaluate the impact of underlyi...
Saved in:
Main Authors: | Frank Aimee Rodrigue Ndagijimana, Taesung Park |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central
2025-01-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s44342-024-00035-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The combinational structure of non-homogeneous Markov chains with countable
states
by: A. Mukherjea, et al.
Published: (1983-01-01) -
Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities
by: Jiazheng Liu, et al.
Published: (2025-01-01) -
MARKOV ANALİZİ İLE İNSAN GÜCÜ PLANLAMASI
by: Erkan Köse, et al.
Published: (2015-10-01) -
Visual tracking using interactive factorial hidden Markov models
by: Jin Wook Paeng, et al.
Published: (2021-08-01) -
Mortality Prediction in the Emergency Service Intensive Care Patients with Possible COVID-19: A Retrospective Cross-Sectional Study
by: Mehmed Ulu, et al.
Published: (2024-11-01)