Katharina Jäger

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study (2025) Flaucher M, Berzins S, Jäger K, Nissen M, Rolny J, Trißler P, Eckl S, et al. Journal article Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception (2024) Nissen M, Huang SY, Jäger K, Flaucher M, Titzmann A, Bleher H, Pontones C, et al. Journal article Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data (2024) Jäger K, Nissen M, Flaucher M, Graf L, Joanidopoulos J, Anneken L, Hübner H, et al. Journal article Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management (2024) Flaucher M, Prümer F, Jäger K, Rolny J, Trissler P, Eckl S, Eskofier B, Leutheuser H Conference contribution Power-MF: Robust fetal QRS detection from non-invasive fetal electrocardiogram recordings (2024) Jäger K, Nissen M, Rahm S, Titzmann A, Fasching P, Beilner J, Eskofier B, Leutheuser H Journal article Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study (2023) Nissen M, Perez CA, Jäger K, Bleher H, Flaucher M, Hübner H, Danzberger N, et al. Journal article Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data (2023) Nissen M, Barrios Campo N, Flaucher M, Jäger K, Titzmann A, Blunck D, Fasching P, et al. Journal article, Original article Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning (2023) Vorberg L, Pflüger S, Richer R, Jäger K, Küderle A, Rohleder N, Eskofier B Conference contribution, Original article WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography (2023) Nissen M, Flaucher M, Jäger K, Hübner H, Danzberger N, Titzmann A, Pontones C, et al. Conference contribution Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data (2023) Flaucher M, Zakreuskaya A, Jäger K, Richer R, Smeddinck JD, Kumar D, Grimme S, et al. Conference contribution, other