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At What Price? Exploring the Potential and Challenges of Differentially Private Machine Learning for Healthcare.

, , , , и . HICSS, стр. 3277-3286. ScholarSpace, (2023)

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Hans Matschak

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A Digitization Pipeline for Mixed-Typed Documents Using Machine Learning and Optical Character Recognition., , , , и . DESRIST, том 13229 из Lecture Notes in Computer Science, стр. 195-207. Springer, (2022)A Process-Based Approach to Information Security Investment Evaluation: Design, Implementation, and Evaluation., , , , и . AMCIS, Association for Information Systems, (2023)A Qualitative Study on Acceptance Factors of Economic Approaches on IT Security Investment Decisions., , , , , и . AMCIS, Association for Information Systems, (2023)Show Me Your Claims and I'll Tell You Your Offenses: Machine Learning-Based Decision Support for Fraud Detection on Medical Claim Data., , , и . HICSS, стр. 1-9. ScholarSpace, (2022)Towards a Business Process-based Economic Evaluation and Selection of IT Security Measures., , , , , , и . CIISR@Wirtschaftsinformatik, том 2966 из CEUR Workshop Proceedings, стр. 7-21. CEUR-WS.org, (2021)Applying Dispositional, Situational, and Organizational Risk Propensity to Technology Threat Avoidance Theory - A tripartite View., , и . ECIS, (2023)A Taxonomy of Machine Learning-based Fraud Detection Systems., , и . ECIS, (2022)Categories of Approaches for IT Security Investment Decisions: A systematic literature review., , и . Wirtschaftsinformatik, AISeL, (2022)At What Price? Exploring the Potential and Challenges of Differentially Private Machine Learning for Healthcare., , , , и . HICSS, стр. 3277-3286. ScholarSpace, (2023)Healthcare in Fraudster's Crosshairs: Designing, Implementing and Evaluating a Machine Learning Approach for Anomaly Detection on Medical Prescription Claim Data., , , и . PACIS, стр. 89. (2021)