Contribution of Synthetic Data Generation towards an Improved Patient Stratification in Palliative Care

Contribution of Synthetic Data Generation towards an Improved Patient Stratification in Palliative Care

AI model development for synthetic data generation to improve Machine Learning (ML) methodologies is an integral part of research in Computer Science and is currently being transferred to related medical fields, such as Systems Medicine and Medical Informatics. In general, the idea of personalized d...

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Bibliographic Details
Main Authors: Waldemar Hahn, Katharina Schütte, Kristian Schultz, Olaf Wolkenhauer, Martin Sedlmayr, Ulrich Schuler, Martin Eichler, Saptarshi Bej, Markus Wolfien
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Personalized Medicine
Subjects:
palliative care
screening
personalized medicine
synthetic data generation
GANs
Online Access:https://www.mdpi.com/2075-4426/12/8/1278

Internet

https://www.mdpi.com/2075-4426/12/8/1278

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