Machine Learning in Healthcare and Biomedical Application II

Dear Colleagues,

In the first volume of the present Special Issue, scholars presented their original scientific works on the topic “Machine Learning in Healthcare and Biomedical Application” and they demonstrated how Machine Learning (ML) could represent a valuable support in clinical decisions. Given the success of this collection, we invite you to participate to the 2^nd volume of the present Special Issue, which focuses on the revolutionary changes to medicine brought about by ML. In particular, we aim to present the most recent discoveries on the application of new or state-of-the-art ML algorithms (e.g., supervised and unsupervised learning; feature selection, extraction and reduction; ensemble learning; deep learning; interpretability and explainability of ML models) in areas related, but not limited to · Disease identification, differential diagnosis, and prognosis; · Bioimage processing and analysis; · Emotion recognition in healthcare; · Cognitive and psychological profiling; · Epidemic outbreak prediction; · Personalized medicine. Contributions such as systematic reviews or meta-analyses on the above-mentioned topics are also welcome.

Dr. Alessia Sarica
Guest Editor

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