98 citations · 477 across the 25 of their papers we have counts for
3 papers · 1 filter
A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities
Dexian Tang, Guillem Francès, África Periáñez
Providing front-line health workers in low- and middle- income countries with recommendations and predictions to improve health outcomes can have a tremendous impact on reducing he…
A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries
Anna Guitart, Afsaneh Heydari, Eniola Olaleye +4
Maternal and child mortality is a public health problem that disproportionately affects low- and middle-income countries. Every day, 800 women and 6,700 newborns die from complicat…
Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs
Anna Guitart, Ana Fernández del Río, África Periáñez +1
Every day, 800 women and 6,700 newborns die from complications related to pregnancy or childbirth. A well-trained midwife can prevent most of these maternal and newborn deaths. Dat…