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1

Integrating Shapley Values into Machine Learning Techniques..:

Feretzakis, Georgios ; Sakagianni, Aikaterini ; Anastasiou, Athanasios...
Applied Sciences. 14 (2024) 13 - p. 5925 , 2024

Link: https://doi.org/10.3390/..

2

A Machine Learning Pipeline Using KNIME to Predict Hospital..:

, In: 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA),

Tsoni, Rozita ; Kaldis, Vasileios ; Kapogianni, Ioanna... - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

3

Using Machine Learning Techniques to Predict Hospital Admis..:

Feretzakis, Georgios ; Karlis, George ; Loupelis, Evangelos...
The Journal of Critical Care Medicine. 8 (2022) 2 - p. 107-116 , 2022

Link: https://doi.org/10.2478/..

4

The positive effect of eugenol on acute pancreatic tissue i..:

Tsaroucha, Alexandra ; Kaldis, Vasileios ; Vailas, Michail...
Pan African Medical Journal. 38 (2021) - p. , 2021

Link: https://doi.org/10.11604..

5

Acute abdomen and septic shock in young lady treated conser..:

Vasileios, Kaldis ; E. Christos, Lampropoulos ; Theodoros, Zarokostas...
European Journal of Molecular & Clinical Medicine. 1 (2017) 0 - p. 14 , 2017

Link: https://doi.org/10.1016/..

6

Using Machine Learning Techniques to Predict Hospital Admis..:

Feretzakis, Georgios ; Karlis, George ; Loupelis, Evangelos...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097643/. , 2022

Link: http://www.ncbi.nlm.nih...

7

Using Machine Learning Techniques to Predict Hospital Admis..:

Feretzakis Georgios ; Karlis George ; Loupelis Evangelos...
https://doi.org/10.2478/jccm-2022-0003. , 2022

Link: https://doi.org/10.2478/..

8

Using machine learning techniques to predict hospital admis..:

Feretzakis, Georgios ; Karlis, George ; Loupelis, Evangelos...
http://arxiv.org/abs/2106.12921. , 2021

Link: http://arxiv.org/abs/210..

9

The positive effect of eugenol on acute pancreatic tissue i..:

Alexandra Tsaroucha ; Vasileios Kaldis ; Michail Vailas...
https://www.panafrican-med-journal.com/content/article/38/132/pdf/132.pdf. , 2021

Link: https://doi.org/10.11604..

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