FuseMedML: a framework for accelerated discovery in machine learning based biomedicine

Python Jupyter Notebook Submitted 16 November 2022Published 22 January 2023
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Editor: @jmschrei (all papers)
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Authors

Alex Golts, Moshe Raboh, Yoel Shoshan, Sagi Polaczek, Simona Rabinovici-Cohen, Efrat Hexter

Citation

Golts et al., (2023). FuseMedML: a framework for accelerated discovery in machine learning based biomedicine. Journal of Open Source Software, 8(81), 4943, https://doi.org/10.21105/joss.04943

@article{Golts2023, doi = {10.21105/joss.04943}, url = {https://doi.org/10.21105/joss.04943}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {81}, pages = {4943}, author = {Alex Golts and Moshe Raboh and Yoel Shoshan and Sagi Polaczek and Simona Rabinovici-Cohen and Efrat Hexter}, title = {FuseMedML: a framework for accelerated discovery in machine learning based biomedicine}, journal = {Journal of Open Source Software} }
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Deep Learning Machine Learning Artificial Intelligence Medical imaging Clinical data Computational biomedicine

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ISSN 2475-9066