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Found 3 papers, 1 papers with code
ALMERIA: Boosting pairwise molecular contrasts with scalable methods
It has been implemented using scalable software and methods to exploit large volumes of data -- in the order of several terabytes -- , offering a very quick response even for a large batch of queries.
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts
Even though it is a general-purpose tool, it has been developed with the aim of becoming a powerful decision-making tool for clinicians, but can actually be used in many other domains.
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
Among the most challenging targets of interest in medicine are cancer diagnosis and therapies but, to start this revolution, software tools need to be adapted to cover the new requirements.
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