Jonas Hügel

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unigoe
 

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  • 2024 | Journal Article
    ​ ​A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys​
    Hügel, J. ; Schneider, J. J.; Tran Ortega, D.; Jentsch, E. M.; Rheinländer, S.; Beyer, N. H. & Estiri, H. et al.​ (2024) 
    Studies in Health Technology and Informatics, 317 pp. 235​-243​.​ DOI: https://doi.org/10.3233/SHTI240862 
    ​Details  DOI  PMID  PMC 
  • 2024 | Book Chapter | 
    ​ ​Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients​
    Hügel, J. ; Schäfer, D. A.; Schneider, J. J.; Tian, J.; Estiri, H.; Koch, R.& Overbeck, T. R. et al.​ (2024)
    In:​Mantas, John; Hasman, Arie; Demiris, George; Saranto, Kaija; Marschollek, Michael; Arvanitis, Theodoros N.; Ognjanović, Ivana, et al.​ (Eds.), Digital Health and Informatics Innovations for Sustainable Health Care Systems : Proceedings of MIE 2024. ​IOS Press. DOI: https://doi.org/10.3233/SHTI240738 
    ​Details  DOI 
  • 2024 | Journal Article | Research Paper
    ​ ​Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19​
    Azhir, A.; Hügel, J. ; Tian, J.; Cheng, J.; Bassett, I. V.; Bell, D. S. & Bernstam, E. V. et al.​ (2024) 
    Med,.​ DOI: https://doi.org/10.1016/j.medj.2024.10.009 
    ​Details  DOI  Preprint 
  • 2024 | Journal Article | 
    ​ ​KRAS G 12 C ‐inhibitor‐based combination therapies for pancreatic cancer: insights from drug screening​
    Tapia Contreras, C.; Falke, J. D.; Seifert, D.; Schneider, C.; Krauß, L.; Fang, X. & Müller, D. et al.​ (2024) 
    Molecular Oncology, art. 1878-0261.13725​.​ DOI: https://doi.org/10.1002/1878-0261.13725 
    ​Details  DOI 
  • 2023 | Preprint | 
    ​ ​tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data​
    Hügel, J. ; Sax, U.; Murphy, S. N.& Estiri, H.​ (2023). DOI: https://doi.org/10.48550/arXiv.2309.05671 
    ​Details  DOI  arXiv 
  • 2022 | Conference Abstract
    ​ ​Enhancing translational research projects and patient care with ETL pipelines for genomic and clinical data​
    Hügel, J. ; Beyer, N. H. ; Bender, T.; Graf, L.; Rheinländer, S.   & Sax, U. ​ (2022)
    GMS German Medical Science, ​67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)​, online. DOI: https://doi.org/10.3205/22GMDS049 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Knowledge bases and software support for variant interpretation in precision oncology​
    Borchert, F.; Mock, A.; Tomczak, A.; Hügel, J. ; Alkarkoukly, S.; Knurr, A. & Volckmar, A.-L. et al.​ (2021) 
    Briefings in Bioinformatics, 22(6) art. bbab246​.​ DOI: https://doi.org/10.1093/bib/bbab246 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Knowledge bases and software support for variant interpretation in precision oncology​
    Borchert, F.; Mock, A.; Tomczak, A.; Hügel, J. ; Alkarkoukly, S.; Knurr, A. & Volckmar, A.-L. et al.​ (2021) 
    Briefings in Bioinformatics, 22(6) art. bbab134​.​ DOI: https://doi.org/10.1093/bib/bbab134 
    ​Details  DOI 
  • 2021 | Research Data
    ​ ​GMDS2021 ePoster and video teaser for DOI 10.3205/21gmds072​
    Kusch, H. ; Bauer, C. R. K. D. ; Bender, T.; Hügel, J. ; Kossen, R. ; Nußbeck, S. Y.  & Sax, U. ​ (2021)
    ​GRO.data. DOI: https://doi.org/10.25625/8vukqa 
    ​Details  DOI 
  • 2021 | Conference Abstract
    ​ ​The bumpy road of FAIRification in practice​
    Kusch, H. ; Bauer, C. R. K. D. ; Bender, T.; Hügel, J. ; Kossen, R. ; Nußbeck, S. Y.   & Sax, U. ​ (2021)
    ​66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)​, virtuell. DOI: https://doi.org/10.3205/21gmds072 
    ​Details  DOI 
  • 2021 | Book Chapter
    ​ ​Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline​
    Schlotzig, V.; Kornrumpf, K.; König, A.; Tucholski, T.; Hügel, J. ; Overbeck, T. R.  & Beißbarth, T.  et al.​ (2021)
    In:​Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn, et al.​ (Eds.), 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 – Technology, Methods, and Infrastructure for Networked Medical Research e.V. 2021 online in Kiel, Germany. ​IOS Press. DOI: https://doi.org/10.3233/SHTI210562 
    ​Details  DOI 
  • 2018 | Conference Abstract
    ​ ​Processing and object-oriented modeling of primary care data (BDT) for scientific use​
    Pung, J. ; Hügel, J. ; Bauer, C. R. & Rienhoff, O.​ (2018)
    ​63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)​, Osnabrück. DOI: https://doi.org/10.3205/18gmds020 
    ​Details  DOI 

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