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Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing
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This Special Issue presents recent progress in applying machine learning and deep learning techniques to healthcare data analysis and clinical decision support. Modern healthcare systems generate extensive and diverse data sources, including physiological signals, medical imaging, electronic health records, wearable sensor outputs, and multimodal patient monitoring streams. Deriving reliable clinical insights from these data demands approaches that are robust, interpretable, and efficient for re
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978-3-7258-6042-5
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https://doi.org/10.3390/books978-3-7258-6042-5
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https://creativecommons.org/licenses/by-nc-nd/4.0/
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Public Health
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