about
Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial.Can social semantic web techniques foster collaborative curriculum mapping in medicine?Visibility of medical informatics regarding bibliometric indices and databases.Towards case-based medical learning in radiological decision making using content-based image retrieval.eMedOffice: a web-based collaborative serious game for teaching optimal design of a medical practice.Towards sustainable data management in professional biobanking.Black box integration of computer-aided diagnosis into PACS deserves a second chance: results of a usability study concerning bone age assessment.Implementing software development guidelines in a medical informatics research project.Semantic Indexing of Medical Learning Objects: Medical Students' Usage of a Semantic Network.Continued multidisciplinary project-based learning - implementation in health informatics.Formalising and acquiring model-based hypertext in medicine: an integrative approach.Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks.How Is My Field Evolving? - Network Based Analysis of Biomedical Scientific Discourse.[Current treatment strategies for spondylodiscitis in surgical clinics in Germany].Repeated testing improves achievement in a blended learning approach for risk competence training of medical students: results of a randomized controlled trial.[Diagnostic and therapeutic management of primary and recurrent patellar dislocations - analysis of a nationwide survey and the current literature].Blended learning positively affects students' satisfaction and the role of the tutor in the problem-based learning process: results of a mixed-method evaluation.How to configure blended problem based learning-results of a randomized trial.Privacy-Preserving Record Grouping and Consent Management Based on a Public-Private Key Signature Scheme: Theoretical Analysis and Feasibility StudyPrivacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative Evaluation
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onderzoeker
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P1006
P214
P1006
P1053
M-7326-2016
P106
P214
P31
P3829
P496
0000-0002-7301-1566
P7859
viaf-10098894