2 citations
2 papers
stat.ML2022★ 2 cited
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods
Göran Köber, Raffael Kalisch, Lara Puhlmann +3
When modeling longitudinal biomedical data, often dimensionality reduction as well as dynamic modeling in the resulting latent representation is needed. This can be achieved by art…
cs.AI2017★ 1 cited
Indexing the Event Calculus with Kd-trees to Monitor Diabetes
Stefano Bromuri, Albert Brugues de la Torre, Fabien Duboisson +1
Personal Health Systems (PHS) are mobile solutions tailored to monitoring patients affected by chronic non communicable diseases. A patient affected by a chronic disease can genera…