The Impact of Bias on Drift Detection in AI Health Software

Author:

Khoshravan Azar Asal,Draghi Barbara,Rotalinti Ylenia,Myles Puja,Tucker AllanORCID

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Clinical practice research datalink. https://cprd.com

2. CPRD cardiovascular disease synthetic dataset. https://cprd.com/cprd-cardiovascular-disease-synthetic-dataset

3. Software and AI as a medical device programme. https://www.gov.uk/government/publications/software-and-ai-as-a-medical-device-change-programme

4. Ditzler, G., Roveri, M., Alippi, C., Polikar, R.: Learning in nonstationary environments: a survey. IEEE Comput. Intell. Mag. 10(4), 12–25 (2015)

5. Draghi, B., Wang, Z., Myles, P., Tucker, A.: Bayesboost: identifying and handling bias using synthetic data generators. In: Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, pp. 49–62. PMLR (2021)

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