Search
Now showing items 1-4 of 4
Machine learning models for early dengue severity prediction
(Springer Verlag, 2016)
Infection by dengue-virus is prevalent and a public health issue in tropical countries worldwide. Also, in developing nations, child populations remain at risk of adverse events following an infection by dengue virus, as ...
A machine learning model for triage in lean pediatric emergency departments
(Springer Verlag, 2016)
High demand periods and under-staffing due to financial constraints cause Emergency Departments (EDs) to frequently exhibit over-crowding and slow response times to provide adequate patient care. In response, Lean Thinking ...
Early prediction of severe maternal morbidity using machine learning techniques
(Springer Verlag, 2016)
Severe Maternal Morbidity is a public health issue. It may occur during pregnancy, delivery, or puerperium due to conditions (hypertensive disorders, hemorrhages, infections and others) that put in risk the women’s or ...
A machine learning model for occupancy rates and demand forecasting in the hospitality industry
(Springer Verlag, 2016)
Occupancy rate forecasting is a very important step in the decision-making process of hotel planners and managers. Popular strategies as Revenue Management feature forecasting as a vital activity for dynamic pricing, and ...
