Identifying patients with Gaucher Disease type 3 (GD3) in the Optum’s de-identified Market Clarity database: a clustering analysis
Event: WORLD Symposium 2022, San Diego, CA, USA Authors: C. Rochmann, M. Génin, M. Blanchon, N. Lambert, L. Deplante, W. Heine, S.Kabadi View Poster Objectives GD3 is a progressive, Lysosomal Storage Disorder (LSD), distinguished from GD1 by early heterogenous neurological manifestations. Neurological presentation in GD1 patients is not well understood. Differentiation of GD3 from GD1 […]
A machine learning algorithm can identify clusters of patients with favourable glycaemic outcomes in a pooled European Gla-300 studies (REALI): Novel signposts for clinicians?
Event: EASD Annual Meeting 2018, Berlin, Germany Authors: M. Rollot, M. Bonnemaire, C. Brulle-Wohlhueter, L. Pedrazzini, E. Boëlle-Le Corfec, G. Bigot, M. Didac, R. Bonadonna, P. Gourdy, D. Müller-Wieland, O. Hacman, A. Chiorean, N. Freemantle View Poster Background and aims Detecting consistent patterns of interest can be performed using data-driven subgroup discovery algorithms. These may be instrumental […]
