A comparison of ancient parasites as seen from archeological contexts and early medical texts in China.
Sign Up to like & getrecommendations! Published in 2019 at "International journal of paleopathology"
DOI: 10.1016/j.ijpp.2019.03.004
Abstract: This paper integrates our knowledge from traditional Chinese medical texts and archeological findings to discuss parasitic loads in early China. Many studies have documented that several different species of eukaryotic endoparasites were present in early… read more here.
Keywords: comparison ancient; parasites seen; medical texts; ancient parasites ... See more keywords
Data Mining a Medieval Medical Text Reveals Patterns in Ingredient Choice That Reflect Biological Activity against Infectious Agents
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DOI: 10.1128/mbio.03136-19
Abstract: We used established methodologies from network science to identify patterns in medicinal ingredient combinations in a key medieval text, the 15th-century Lylye of Medicynes, focusing on recipes for topical treatments for symptoms of microbial infection.… read more here.
Keywords: network science; text; activity; medical texts ... See more keywords
De-Identification of German Medical Admission Notes
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DOI: 10.3233/978-1-61499-896-9-165
Abstract: Medical texts are a vast resource for medical and computational research. In contrast to newswire or wikipedia texts medical texts need to be de-identified before making them accessible to a wider NLP research community. We… read more here.
Keywords: medical admission; admission notes; identification german; medical texts ... See more keywords
Information Extraction from Medical Texts with BERT Using Human-in-the-Loop Labeling.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230281
Abstract: Neural network language models, such as BERT, can be used for information extraction from medical texts with unstructured free text. These models can be pre-trained on a large corpus to learn the language and characteristics… read more here.
Keywords: information; information extraction; using human; medical texts ... See more keywords