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Automatic extraction of knowledge from medical reports to minimize the risks of human error
Tománek, Stanislav ; Mezina, Anzhelika (referee) ; Burget, Radim (advisor)
This bachelors thesis focuses on creation of datasets for trainings models for the purpose of summarizing medical reports and text analysis to determine whether a patient is a smoker, has a couch or suffers from pneumonia. Training techniques are introduced from basic training to creating mini LoRA models in a home environment to maintain private data from the reach of third parties.

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