Evaluating patient experience in maternity services using a Bayesian belief network model.
Pregnancy and childbirth are commonly seen as positive experiences, but they can also pose distinct challenges and risks, especially when care is insufficient. This study investigates the factors influencing maternity patient experience by exploring the complex interactions among these factors. Usin...
Saved in:
| Main Authors: | Abrar Abdulhakim Ahmed Munassar, Mecit Can Emre Simsekler, Ahmed Alaaeldin Saad, Abroon Qazi, Mohammed A Omar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318612 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prioritizing factors influencing global network readiness index with bayesian belief networks
by: Abroon Qazi
Published: (2025-06-01) -
Exploring the interdependencies among social progress index (SPI) components and their impact on country-level sustainability performance based on Bayesian Belief Network
by: Abroon QAZI
Published: (2025-06-01) -
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
by: Razan Alkhanbouli, et al.
Published: (2025-03-01) -
Building resilience against physical risk: the role of logistics performance in risk mitigation
by: Abroon Qazi
Published: (2025-12-01) -
Risk forecasting for shortfalls in achieving sustainable development goals: A corruption perspective
by: Abroon Qazi
Published: (2025-06-01)