Comparative Evaluation of Sequence-Encoding Strategies for Clustering Inhaled Therapy Pathways in COPD Patients Using Real-World Data
At ISPOR Europe 2025, Marie Génin presented Quinten Health’s study comparing three sequence encoding strategies for clustering inhaled therapy pathways in COPD patients based on real-world data from CONSTANCES linked to SNDS. Marie Génin presenting Quinten Health’s poster at ISPOR Europe 2025. Why Encoding Matters COPD treatment pathways are complex and heterogeneous. Machine-learning algorithms require […]
Comparative Evaluation of Sequence-Encoding Strategies for Clustering Inhaled Therapy Pathways in COPD Patients Using Real-World Data
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Romane Péan, Nina Temam, Marie Génin, Diane Vincent, Rachel Nadif, Sofiane Kab, Nicolas Roche, Pauline Guilmin View Poster OBJECTIVES Identifying and comparing patient treatment pathways is critical to inform healthcare decision-making, yet the high variability and complexity of real-world sequences pose methodological challenges. In clustering, sequence encoding plays […]
Clustering des trajectoires thérapeutiques pour la bronchopneumopathie chronique obstructive (BPCO) : comparaison des méthodes d’encodage de séquences
Event: 17ème Colloque Données de Santé en Vie Réelle de l’AFCROs, Paris, France Authors: Romane Pean, Nina Temam, Diane Vincent, Marie Génin, Pauline Guilmin View Presentation Introduction L’analyse des séquences thérapeutiques et évènements médicauxest essentielle pour optimiser la prise en charge des patients. Cependant, lacomplexité et variabilité de ces séquences posent un défi méthodologique. Leclustering […]
