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20242026
most citedCan I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

59 citations · 62 across the 10 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024

Testing Medical Rules Web Services in Practice

Christoph Laaber, Shaukat Ali, Thomas Schwitalla +1

The Cancer Registry of Norway (CRN) collects and processes cancer-related data for patients in Norway. For this, it employs a sociotechnical software system that evolves with chang…

cs.CR2024

A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis

Narasimha Raghavan Veeraragavan, Svetlana Boudko, Jan Franz Nygård

The proliferation of real-world health data enables multi-institutional survival studies, yet privacy constraints preclude centralizing sensitive records. We present a privacy-pres…

cs.SE2024

Quantum Neural Network Classifier for Cancer Registry System Testing: A Feasibility Study

Xinyi Wang, Shaukat Ali, Paolo Arcaini +2

The Cancer Registry of Norway (CRN) is a part of the Norwegian Institute of Public Health (NIPH) and is tasked with producing statistics on cancer among the Norwegian population. F…

cs.DB2024★ 1 cited

Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators

Narasimha Raghavan Veeraragavan, Mohammad Hossein Tabatabaei, Severin Elvatun +3

Synthetic data generation is increasingly recognized as a crucial solution to address data related challenges such as scarcity, bias, and privacy concerns. As synthetic data prolif…

cs.SE2024★ 1 cited

LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine

Erblin Isaku, Christoph Laaber, Hassan Sartaj +3

The Cancer Registry of Norway (CRN) uses an automated cancer registration support system (CaReSS) to support core cancer registry activities, i.e, data capture, data curation, and…

cs.LG2024★ 59 cited

Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall +7

Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. In response to privacy concerns and regulatory requiremen…