Jonas Hügel

According to our database, Jonas Hügel authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients.

Jonas Hügel, Jan Janosch Schneider, Jiazi Tian, Hossein Estiri, Raphael Koch, Tobias R. Overbeck, Ulrich Sax

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys.

Jonas Hügel, Jan Janosch Schneider, Daniel Tran Ortega, Ella Maria Jentsch, Sophia Rheinländer, Nils Hendrik Beyer, Hossein Estiri, Christoph Ammer-Herrmenau, Elisabeth Hessmann, Alexander Otto König, Volker Ellenrieder, Ulrich Sax

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

2023

tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data.

Jonas Hügel, Ulrich Sax, Shawn N. Murphy, Hossein Estiri

CoRR, 2023

Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity.

Jan Janosch Schneider, Marius Adler, Christoph Ammer-Herrmenau, Alexander Otto König, Ulrich Sax, Jonas Hügel

CoRR, 2023

2021

GMDS2021 ePoster and video teaser for DOI 10.3205/21gmds072.

Harald Kusch, Christian Robert Bauer, Theresa Bender, Jonas Hügel, Robert Kossen, Sara Yasemin Nußbeck, Ulrich Sax

Dataset, October, 2021

GMDS2021 ePoster and video teaser for DOI 10.3205/21gmds072.

Harald Kusch, Christian Robert Bauer, Theresa Bender, Jonas Hügel, Robert Kossen, Sara Yasemin Nußbeck, Ulrich Sax

Dataset, September, 2021

Knowledge bases and software support for variant interpretation in precision oncology.

Florian Borchert, Andreas Mock, Aurelie Tomczak, Jonas Hügel, Samer Alkarkoukly, Alexander Knurr, Anna-Lena Volckmar, Albrecht Stenzinger, Peter Schirmacher, Jürgen Debus, Dirk Jäger, Thomas Longerich, Stefan Fröhling, Roland Eils, Nina Bougatf, Ulrich Sax, Matthieu-P. Schapranow

Briefings Bioinform., 2021

Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline.

Vanessa Schlotzig, Kevin Kornrumpf, Alexander König, Tim Tucholski, Jonas Hügel, Tobias R. Overbeck, Tim Beißbarth, Raphael Koch, Jürgen Dönitz

Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021