How experiential learning enables public sector readiness and risk compliance
Government and public sector organisations face a more unpredictable world today than ever before. They need to be prepared for...
risk
A deep learning-based meteorological factors forecast and dynamic risk assessment approach for built cultural heritage
With the advancement of information technology, it has become possible to investigate preventive conservation for built heritage using IoTs, big...
Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths | Population Health Metrics
ApproachIn this research, the unit of analysis is the individual birth. We aim to identify the births with the highest...
A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, AustriaStephan...
Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach
Implementation of the VDHNC model is carried out with the aid of the able libraries and frameworks of DL applications...
A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs
Patient demographics and baseline characteristicsIn this study, we initially included 4344 patients from the Bioreg dataset. After applying inclusion criteria...
