Results 151 to 160 of about 157,658 (286)
Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation
Journal of Integrative Bioinformatics, 2017 Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
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Mining Biomedical Texts for Pediatric Information
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021 Natalia Khuri, Deepti Garg, Tian Yun
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Text Mining Methods for Biomedical Data Analysis
, 2021 Biological data topic modeling has become a very prevalent topic among researchers in recent times. However, analysing countless research papers and gathering consensus regarding biomedicine is a near-impossible task for any researcher due to the complexity and quantity of material that is published.
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VIEW, EarlyView.Acupuncture anesthesia (AA) is an application of acupuncture innovation in surgical operations, combined with anesthetic techniques, and is a model of integrated Chinese and Western medicine. We proposed the Acupuncture Anesthesia Knowledge Database (AAKD), in which all data have been meticulously curated by field experts and assessed by a multi ...
Ying Wang +11 more
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Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
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Genescene: biomedical text and data mining [PDF]
2003 Joint Conference on Digital Libraries, 2003. Proceedings., 2004 G. Leroy +10 more
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Text mining for case report articles on “peritoneal dialysis” from PubMed database
Therapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 459-470, June 2025.Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima +6 more
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Cellular Stress, Inflammation and Barrier Damage in Gut Epithelial Cells Caused by Aspartame
Allergy, EarlyView.This study shows that aspartame, at dietary‐relevant doses, induces cytotoxicity, cellular distress associated with endoplasmic reticulum stress, oxidative stress, DNA replication and repair mechanism disturbance culminating in epithelial barrier damage.
Yagiz Pat +16 more
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Representation Learning for Biomedical Text Mining
Die Untersuchung von Beziehungen zwischen biomedizinischen Entitäten bildet einen Eckpfeiler der modernen Medizin. Angesichts der rasanten Zunahme der Forschungsliteratur wird es jedoch zunehmend schwieriger, durch bloßes Lesen umfassende Informationen über bestimmte Entitäten und deren Beziehungen zu gewinnen.
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Network medicine and systems pharmacology approaches to predicting adverse drug effects
British Journal of Pharmacology, EarlyView.Identifying and understanding the relationships between drug intake and adverse effects that can occur due to inadvertent molecular interactions between drugs and targets is a difficult task, especially considering the numerous variables that can influence the onset of such events.
Alessio Funari +2 more
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