4 papers
From Restless to Contextual: A Thresholding Bandit Reformulation For Finite-horizon Improvement
Jiamin Xu, Ivan Nazarov, Aditya Rastogi +2
This paper addresses the poor finite-horizon performance of existing online \emph{restless bandit} (RB) algorithms, which stems from the prohibitive sample complexity of learning a…
Data-Driven Approach to Capitation Reform in Rwanda
Babaniyi Olaniyi, Ina Kalisa, Ana Fernández del RÃo +9
As part of Rwanda's transition toward universal health coverage, the national Community-Based Health Insurance (CBHI) scheme is moving from retrospective fee-for-service reimbursem…
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos, Florian Leiser, Aditya Rastogi +6
The joint implementation of federated learning (FL) and explainable artificial intelligence (XAI) could allow training models from distributed data and explaining their inner worki…
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
Ãfrica Periáñez, Ana Fernández del RÃo, 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…