Nowadays, advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, like electroencephalography, genomic, medical images and protein sequences (Cao et al., 2018). Learning from these data facilitates the understanding of human health and disease. Particularly, Machine Learning (ML) helps to perform predictive analysis or pattern recognition on large data. Also, it offers a range of alerting and risk management decision support tools, targeted at improving patients’ safety and healthcare quality.

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