Identifiying predictive factors of diabetic ketoacidosis using the Qfinder algorithm
The article “Identification of Predictive Factors of Diabetic Ketoacidosis in Type 1 Diabetes Using a Subgroup Discovery Algorithm” was written in collaboration with Angela Ibald-Mulli, Jochen Seufert, Julia M. Grimsmann, Markus Laimer, Peter Bramlage, Alexandre Civet, Margot Blanchon, Simon Gosset, Alexandre Templier, W. Dieter Paar, Fang Liz Zhou, Stefanie Lanzinger. Diabetic ketoacidosis (DKA) is identified […]
Our new clustering method “Qluster” is out!
Discover our new article “Qluster” referring to a generic and robust method of clustering health data. Already applied on many projects, this method allows to generate a relevant segmentation of your health data with robust and referenced methods, while ensuring an interpretability of the results. Guidelines are also provided in order to make the most […]
Discover our new work around patients’ perception understanding throught NLP: a poster presented at ispor EU 2022!
The poster ” (# ) ’ ” was written in collaboration with Mélissa Rollot, Coriande Clemente, Vincent Martenot and Paul Hayat of Quinten and Quinten Health. The presented method makes possible the automated and efficient extraction of topics from a large volume of text data : Applied to patients’ testimonies, such analysis provides strong insights on patients’ perception about […]
