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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
JMIR Cancer 2025;11:e65984
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Chen et al [32] combined SVM with principal component analysis to successfully extract 6 features from 32 predictors, improving the performance over the simple SVM model. Other models use unsupervised learning to cluster this unlabeled data and then use supervised learning for longitudinal prediction [33]. Further research and discussion are needed to assess the accuracy and effectiveness of these different models.
We found that cognitive tests such as the MMSE and the Mo CA were mostly used as predictors.
J Med Internet Res 2025;27:e59649
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