Deep continual learning for medical call incidents text classification under the presence of dataset shifts

Research article (Computers in Biology and Medicine, 2024) · cited 13× · AI/ML
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Deep continual learning for medical call incidents text classification under the presence of dataset shifts

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Deep continual learning for medical call incidents text classification under the presence of dataset shifts is a scholarly article[1].

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  • Deep continual learning for medical call incidents text classification under the presence of dataset shifts's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep continual learning for medical call incidents text classification under the presence of dataset shifts. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-continual-learning-for-medical-call-incidents-text-classification-under-the-presence-of-dataset-shifts
MLA “Deep continual learning for medical call incidents text classification under the presence of dataset shifts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-continual-learning-for-medical-call-incidents-text-classification-under-the-presence-of-dataset-shifts.
BibTeX @misc{4ortxyz_deep-continual-learning-for-medical-call-incidents-text-classification-under-the-presence-of-dataset-shifts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep continual learning for medical call incidents text classification under the presence of dataset shifts}}, year = {2026}, url = {https://4ort.xyz/entity/deep-continual-learning-for-medical-call-incidents-text-classification-under-the-presence-of-dataset-shifts}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep continual learning for medical call incidents text classification under the presence of dataset shifts — https://4ort.xyz/entity/deep-continual-learning-for-medical-call-incidents-text-classification-under-the-presence-of-dataset-shifts (retrieved 2026-05-24)

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