98 citations · 477 across the 25 of their papers we have counts for
7 papers · 1 filter
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
África Periáñez, Ana Fernández del Río, Ivan Nazarov +4
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health a…
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva +5
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization. We explore a case study wit…
Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services
Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva +5
Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries. Procuring pharmacists with the right behavioral interventions or nudges can enhance…
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
África Periáñez, Kathrin Schmitz, Lazola Makhupula +6
By providing evidence-based clinical decision support, digital tools and electronic health records can revolutionize patient management, especially in resource-poor settings where…
Actionable Recourse via GANs for Mobile Health
Jennifer Chien, Anna Guitart, Ana Fernandez del Rio +2
Mobile health apps provide a unique means of collecting data that can be used to deliver adaptive interventions.The predicted outcomes considerably influence the selection of such…
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…
Profiling Players with Engagement Predictions
Ana Fernández del Río, Pei Pei Chen, África Periáñez
The possibility of using player engagement predictions to profile high spending video game users is explored. In particular, individual-player survival curves in terms of days afte…