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Artificial Intelligence-Based Methods for Precision Medicine: Diabetes Risk Prediction
This review provides insights into the current state and limitations of AI-based T2DM risk prediction models and highlights challenges for their development and clinical implementation.
miRNA and Gene Expression based Cancer Classification using Self- Learning and Co-Training Approaches
Using both labeled and unlabeled sets to train sample classifiers, have not been previously considered when gene and miRNA expression sets are used.
Intelligent Hybrid Man-Machine Translation Quality Estimation
Inferring evaluation scores based on human judgments is invaluable compared to using current evaluation metrics which are not suitable for real-time applications e. g. post-editing.
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