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Home > LISS 2020: Proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences > Modeling Strategies for Risk Prediction in Clinical Medicine with Restricted Data: Application to Cardiovascular Disease

LISS 2020: Proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences |
Springer Nature Singapore
LISS 2020: Proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences

Modeling Strategies for Risk Prediction in Clinical Medicine with Restricted Data: Application to Cardiovascular Disease
Authors

ARI Id

1665312462913_5851687

Access

Not Available Free

Pages

13-29

DOI

10.1007/978-981-33-4359-7_2

Chapter URL

https://rd.springer.com/chapter/10.1007/978-981-33-4359-7_2

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