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Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.

F. Ruis, S. Pathak, J. Geerdink, J. Hegeman, C. Seifert, and M. van Keulen. ICDM (Workshops), page 644-650. IEEE, (2020)

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Silvia Keulen

Percy S F van Keulen

Hermann Keulen

Lucia Keulen

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Uncertain Groupings: Probabilistic Combination of Grouping Data.B. Wanders, M. van Keulen, and P. van der Vet. DEXA (1), volume 9261 of Lecture Notes in Computer Science, page 236-250. Springer, (2015)Predicting parking occupancy via machine learning in the web of things.J. Provoost, A. Kamilaris, L. Wismans, S. van der Drift, and M. van Keulen. Internet Things, (2020)Comparing Process Models for Patient Populations: Application in Breast Cancer Care.F. Marazza, F. Bukhsh, O. Vijlbrief, J. Geerdink, S. Pathak, M. van Keulen, and C. Seifert. Business Process Management Workshops, volume 362 of Lecture Notes in Business Information Processing, page 496-507. Springer, (2019)Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.S. Pathak, J. van Rossen, O. Vijlbrief, J. Geerdink, C. Seifert, and M. van Keulen. IEEE ACM Trans. Comput. Biol. Bioinform., 17 (6): 1883-1894 (2020)From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.M. Nauta, J. Trienes, S. Pathak, E. Nguyen, M. Peters, Y. Schmitt, J. Schlötterer, M. van Keulen, and C. Seifert. CoRR, (2022)Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.S. Pathak, J. Schlötterer, J. Geerdink, O. Vijlbrief, M. van Keulen, and C. Seifert. CoRR, (2023)Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques.J. Provoost, L. Wismans, S. van der Drift, A. Kamilaris, and M. van Keulen. CoRR, (2019)From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.M. Nauta, J. Trienes, S. Pathak, E. Nguyen, M. Peters, Y. Schmitt, J. Schlötterer, M. van Keulen, and C. Seifert. ACM Comput. Surv., 55 (13s): 295:1-295:42 (2023)Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.F. Ruis, S. Pathak, J. Geerdink, J. Hegeman, C. Seifert, and M. van Keulen. ICDM (Workshops), page 644-650. IEEE, (2020)The IMPRESS DDT: A Database Design Toolbox Based on a Formal Specification Language.J. Flokstra, M. van Keulen, and J. Skowronek. SIGMOD Conference, page 506. ACM Press, (1994)

BibSonomy

Disambiguation of "van Keulen, Maurice"

copy delete add this publication to your clipboard
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DOI
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DIN 1505
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Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.

Please choose a person to relate this publication to

Silvia Keulen

Percy S F van Keulen

Hermann Keulen

Hermann Keulen

Lucia Keulen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "van Keulen, Maurice"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.

Please choose a person to relate this publication to

Silvia Keulen

Percy S F van Keulen

Hermann Keulen

Hermann Keulen

Lucia Keulen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.