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Found 6 papers, 0 papers with code
Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing
The precision, recall, and F1 score per document for the acute infection detection algorithm were 82. 54 (95CI 72. 86-91. 60), 85. 24 (95CI 76. 61-93. 70), 83. 87 (95CI 76, 92-90. 08) with exploitation of the results of the advanced body extraction algorithm, respectively.
Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse
The objective of this study is to address the critical issue of de-identification of clinical reports in order to allow access to data for research purposes, while ensuring patient privacy.
Learning structures of the French clinical language:development and validation of word embedding models using 21 million clinical reports from electronic health records
We used two French annotated medical datasets to compare our language models to the original CamemBERT network, evaluating the statistical significance of improvement with the Wilcoxon test.
MODELLING BIOLOGICAL ASSAYS WITH ADAPTIVE DEEP KERNEL LEARNING
Due to the significant costs of data generation, many prediction tasks within drug discovery are by nature few-shot regression (FSR) problems, including accurate modelling of biological assays.
Adaptive Deep Kernel Learning
Deep kernel learning provides an elegant and principled framework for combining the structural properties of deep learning algorithms with the flexibility of kernel methods.
FASTER: Fusion AnalyticS for public Transport Event Response
Increasing urban concentration raises operational challenges that can benefit from integrated monitoring and decision support.
