Insights in Data Generation: A Synthetic Data Approach for Enabling Small Datasets in Atrial Fibrillation Research

Author:

Salman AliORCID,Goretti Francesco,Cartocci Alessandra,Iadanza ErnestoORCID

Publisher

Springer Nature Switzerland

Reference12 articles.

1. Gonzales, A., Guruswamy, G., Smith, S.R.: Synthetic data in health care: a narrative review. PLOS Digit. Health 2(1), 1–16 (2023)

2. Romiti, S., Vinciguerra, M., Saade, W., Cortajarena, I.A., Greco, E.: Artificial intelligence (AI) and cardiovascular diseases: an unexpected alliance. Cardiol. Res. Pract. 2020, 4972,346 (2020). https://doi.org/10.1155/2020/4972346

3. Patel, K.: Ethical reflections on data-centric AI: balancing benefits and risks. Int. J. Artif. Intell. Res. Dev. 2(1), 1–17 (2024)

4. Gaussiancopulasynthesizer - synthetic data vault (2023). Accessed 2 Feb 2024

5. Goretti, F., Marzullo, A., Milli, M., Iadanza, E.: Prediction of atrial fibrillation using deep learning techniques. In: Convegno Nazionale di Bioingegneria (2023)

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