Prof. Dr. Murat Sariyar

Forschung und Lehre

Künstliche Intelligenz in der Medizin, Bioinformatik, Datenschutz und Anonymisierung

Medizininformatik (Bsc)

Informatik (Bsc)

Artificial in Medicine (Master Uni Bern)

Datenbanken

Patientenpfade und klinische Prozesse

Business Intelligence im Gesundheitswesen

R als Programmiersprache

Practical Machine Learning: Supervised Learning, Feature Engineering, Evaluation Measures

Einführung in die Bioinformatik und Genetische Epidemiologie

Philosophie im Kontext von Informatik

NLP and Text Mining

Deep Learning

Maths for Data Science

Advanced Databases

Computer Science & Medical Informatics & Bioinformatics

Mathematische Optimierung

Machine Learning

Biostatistik und Bioinformatik

Pharmacogenetics CDSS

Systemtheorie nach Luhmann

Datenschutz und Anonymisierung

Record Linkage und Data Fusion

Ontologie und Epistemologie

Harnessing event and longitudinal data in industry and the health sector through privacy preserving technologies (SNF)

Record Linkage for Register-based Census (Destatis)

Pharmacogenetic Clinical Decision Support Service (GebertRüf and InnoSuisse)

Citizen-controlled Data Science for Multiple Sclerosis Research (ETH)

Innovative AI-supported documentation for emergency medicine (Inventus)

Participatory roster planning based on trustworthy artificial intelligence (Intern)

Templ, M., & Sariyar, M. (2022). A systematic overview on methods to protect sensitive data provided for various analyses (Vol. 21, Issue 6). Springer. https://doi.org/10.24451/arbor.18480

Kunz, S., Zgraggen, C., & Sariyar, M. (2022). Mapping SNOMED CT Codes to Semi-Structured Texts via an NLP Pipeline (Vol. 295). IOS Press. https://doi.org/10.24451/arbor.18475

Miletic, M., & Sariyar, M. (2022). The Sortal Concept in the Context of Biomedical Record Linkage (Vol. 295). IOS Press. https://doi.org/10.24451/arbor.18472

Miletic, M., & Sariyar, M. (2022). Explaining Contextualized Word Embeddings in Biomedical Research – A Qualitative Investigation (Vol. 295). IOS Press. https://doi.org/10.24451/arbor.18476

Adams, S., Uthayathas, G., & Sariyar, M. (2022). A Consent Tool for Secondary Use of Biomedical Data (Vol. 292). IOS Press. https://doi.org/10.24451/arbor.18477

Sariyar, M. (2022). Death from the Perspective of Luhmann’s System Theory (Vol. 8, Issue 1). De Gruyter. https://doi.org/10.24451/arbor.18481

Abu Baker, M., Sariyar, M., Holm, J., & Calderara, F. (2022). Pro-Active Detection of Potentially Wrong Diagnoses Due to Substantial Changes of Laboratory Measurements (Vol. 289). IOS Press. https://doi.org/10.24451/arbor.18474

Neuenschwander, S., Romao, P., Holm, J., & Sariyar, M. (2022). Developing an Ontology for Documenting Adverse Events While Avoiding Pitfalls (Vol. 289). IOS Press. https://doi.org/10.24451/arbor.18478

Sariyar, M., & Holm, J. (2022). Embedding Risk-Based Anonymization into Data Access Control for Providing Individual-Level Health Data in a Secure Way (Vol. 289). IOS Press. https://doi.org/10.24451/arbor.18473

Sariyar, M., & Holm, J. (2022). Medical Informatics in a Tension Between Black-Box AI and Trust (Vol. 289). IOS Press. https://doi.org/10.24451/arbor.18479

Sariyar, M., & Holm, J. (2021). On the Concepts of Identity and Similarity in the Context of Biomedical Record Linkage (Vol. 281). IOS Press. https://doi.org/10.24451/arbor.15948

Zbinden, C., Strickler, M., Sariyar, M., Bürkle, T., & Seidel, K. (2021). Digitizing Data Management for Intraoperative Neuromonitoring (Vol. 278). IOS Press. https://doi.org/10.24451/arbor.15947

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Zbinden, C., Strickler, M., Sariyar, M., Bürkle, T., & Seidel, K. (2020). A Protocol Entry Catalog for Intraoperative Neuromonitoring - Steps Towards an Ontology. (Vol. 272). IOS Press. https://doi.org/10.24451/arbor.13256

Tippenhauer, K. M., Philips, M., Largiadèr, C. R., Sariyar, M., & Bürkle, T. (2020). Integrating Pharmacogenetic Decision Support into a Clinical Information System (Vol. 270). IOS Press. https://doi.org/10.24451/arbor.13272

Sariyar, M., & Schlünder, I. (2020). Challenges and Legal Gaps of Genetic Profiling in the Era of Big Data (Vol. 2). Frontiers. https://doi.org/10.24451/arbor.13257

Sariyar, M., Bürkle, T., Lehmann, M., & Holm, J. (2019). Current Reasons for Not Using Clinical Pathways in Practice (Vol. 259). IOS Press. https://doi.org/10.24451/arbor.13268

Sariyar, Murat; Suhr, Stephanie; Schlünder, Irene (2017). How Sensitive Is Genetic Data? Biopreservation and Biobanking, 15(6), pp. 494-501. 10.1089/bio.2017.0033 <http://dx.doi.org/10.1089/bio.2017.0033>

McMurry, J. A., Juty, N., Blomberg, N., Burdett, T., Conlin, T., Conte, N., Courtot, M., Deck, J., Dumontier, M., Fellows, D. K., Gonzalez-Beltran, A., Gormanns, P. G., Grethe, J., Hastings, J., Hériché, J.-K., Hermjakob, H., Ison, J. C., Jimenez, R. C., Jupp, S., … Parkinson, H. (2017). Identifiers for the 21st century : How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data. (Vol. 15, Issue 6). Public Library of Science (PLoS). https://doi.org/10.24451/arbor.5701