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Explaining Black-box Models for Biomedical Text …
- https://pubmed.ncbi.nlm.nih.gov/33534720/
- BioCIE improved the fidelity of instance-wise and class-wise explanations by 11.6% and 7.5%, respectively. It also improved the interpretability of explanations by 8%. BioCIE can be effectively used to explain how a black-box biomedical text classification model …
Clinical text classification with rule-based features and …
- https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-019-0781-4
- The objective of the i2b2 2008 obesity challenge is to assess text classification methods for determining patient disease status with respect to obesity and …
Biomedical Text Classification Using Augmented Word …
- https://www.hindawi.com/journals/cin/2023/2989791/
- Biomedical Text Classification Using Augmented Word Representation Based on Distributional and Relational Contexts 1. Introduction. Biomedical …
ML-Net: multi-label classification of biomedical texts with …
- https://pubmed.ncbi.nlm.nih.gov/31233120/
- ML-Net is also shown to be robust when evaluated on different text genres in biomedicine. Conclusion: ML-Net is able to accuractely represent biomedical document …
Convolutional Neural Networks for Biomedical Text …
- https://pubmed.ncbi.nlm.nih.gov/28736769/
- Building high accuracy text classifiers is an important task in biomedicine given the wealth of information hidden in unstructured narratives such as research articles and clinical …
Active Learning for Biomedical Text Classification Based …
- https://ieeexplore.ieee.org/document/9369295/
- Abstract: Biomedical text classification algorithms, which currently support clinical decision-making processes, call for expensive training texts due to …
Explaining Black-Box Models for Biomedical Text …
- https://ieeexplore.ieee.org/document/9345952/
- BioCIE improved the fidelity of instance-wise and class-wise explanations by 11.6% and 7.5%, respectively. It also improved the interpretability of explanations by 8%. …
A clinical text classification paradigm using weak …
- https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0723-6
- Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine …
Active Learning for Biomedical Text Classification Based …
- https://www.researchgate.net/publication/349826571_Active_Learning_for_Biomedical_Text_Classification_Based_on_Automatically_Generated_Regular_Expressions
- Biomedical text classification algorithms, which currently support clinical decision-making processes, call for expensive training texts due to the low availability of labeled corpus and the cost...
Using Dictionaries for Biomedical Text Classification
- https://link.springer.com/chapter/10.1007/978-3-642-19914-1_47
- The purpose of this paper is to study the use of dictionaries in the classification of biomedical texts. Experiments are conducted with three different dictionaries …
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