A5101663148- Neonatal and Maternal Infections
- Sepsis Diagnosis and Treatment
- Infant Development and Preterm Care
- Advanced Graph Neural Networks
- Big Data and Digital Economy
- Bacterial Identification and Susceptibility Testing
- Privacy-Preserving Technologies in Data
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Impact on Reproduction
- Machine Learning in Healthcare
- Long-Term Effects of COVID-19
- Artificial Intelligence in Healthcare
- COVID-19 Clinical Research Studies
- Electronic Health Records Systems
National University of Singapore
2021-2025
Probabilistic graphical model, a rich framework in modelling associations between variables complex domains, can be utilized to aid clinical diagnosis. However, its application pediatric sepsis remains limited. This study aims explore the utility of probabilistic models intensive care unit.We conducted retrospective on children using first 24-hour data unit admission from Pediatric Intensive Care Dataset, 2010-2019. A model method, Tree Augmented Naive Bayes, was used build diagnosis...
Recent research has demonstrated that machine learning (ML) the potential to improve several aspects of medical application for critical illness, including sepsis. This scoping review aims evaluate feasibility probabilistic graphical model (PGM) methods in pediatric sepsis and describe use definition these studies.Literature searches were conducted PubMed, Scopus, Cumulative Index Nursing Allied Health Literature (CINAHL+), Web Sciences from 2000-2023. Keywords included "pediatric",...
Modeling patient data, particularly electronic health records (EHR), is one of the major focuses machine learning studies in healthcare, as these provide clinicians with valuable information that can potentially assist them disease diagnosis and decision-making. In this study, we present a multi-level graph-based framework called MedMGF, which models both medical profiles extracted from EHR data their relationship network single architecture. The consist several layers embedding derived...
1National University of Singapore, Singapore 2National 3KK Women's and Children's Hospital 4KK