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Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx.

, , , , and . AMIA, AMIA, (2015)

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Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning., , , , , , , and . AIED (2), volume 12749 of Lecture Notes in Computer Science, page 37-42. Springer, (2021)A step towards Improving Knowledge Tracing., , , , , and . ICALT, page 38-39. IEEE, (2021)Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx., , , , and . AMIA, AMIA, (2015)Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches., , , and . BMC Medical Informatics Decis. Mak., 19-S (7): 274 (2019)Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora., , , , , and . J. Biomed. Informatics, (2017)Deep Medical Entity Recognition for Swedish and Spanish., , , and . BIBM, page 1595-1601. IEEE Computer Society, (2018)Ensembles for clinical entity extraction., , , , , and . Proces. del Leng. Natural, (2018)Mining Clinical Text in Cancer Care.. Stockholm University, Sweden, (2020)Linking Entities Across Images and Text., , and . CoNLL, page 185-193. ACL, (2015)Mining Events Preceding a Cancer Diagnosis.. eScience, page 295-296. IEEE Computer Society, (2018)