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Biomedical text mining

Biomedical text mining (including biomedical natural language processing or BioNLP) refers to the methods and study of how text mining may be applied to texts and literature of the biomedical domain. As a field of research, biomedical text mining incorporates ideas from natural language processing, bioinformatics, medical informatics and computational…

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Biomedical text mining

Nodes88
Edges87
Triples88
Avg. degree1.98
Density0.022727
Components1

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Biomedical text mining

Top relations

related to Information retrieval and question answering · 23
Biomedical text mining → AI, Allen Institute, Biomedical, Center, Chan Zuckerberg Initiative, CORD-19, COVID-19 Open Research Dataset, Emerging Technology, For, Google, March, Medicine, MeSH, Microsoft Research, National Library, On, Other, PubMed, Search, Security
related to Availability of annotated text data · 18
Biomedical text mining → Bedside, Development, Informatics, Integrating Biology, Large, Machine, Manual, Medical Subject Headings, Medicine's Unified Medical Language, MeSH, National Library, Resources, System, Text, Training, UMLS, While, Wikipedia
related to Frameworks · 7
Biomedical text mining → Apache Spark, Computational, NER, NoSQL, SwellShark, The SparkText, UMLS
related to External links · 6
Biomedical text mining → Archived, Bio-NLP, BioNLP Archived, Wayback Machine, Wayback MachineThe BioCreative, Wayback MachineThe BioNLP
related to APIs · 4
Biomedical text mining → API, APIs, NOBLE Coder, Some
related to Named entity recognition · 4
Biomedical text mining → Developments, Most, Names, NER
related to Supporting clinical needs · 3
Biomedical text mining → Biomedical, NLP, This
related to Conferences · 2
Biomedical text mining → Most, The

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Important terminology

text biomedical mining literature methods information developed may data proteins research corpora specific language processing tools search medical recognition genes

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
PubMed.In recent yearsinstance ofThe strategies in this field have been applied to the biomedical literature available through services0.80text
the scientific literature has shifted to electronic publishing but the volume of information available can be overwhelminginstance ofThe strategies in this field have been applied to the biomedical literature available through services0.80text
parts of speechinstance ofWhile they may provide evidence of general text properties0.80text
they rarely contain concepts of interest to biologists or cliniciansinstance ofWhile they may provide evidence of general text properties0.80text
LOINC have been developed but require extensive organizational effort to implementinstance ofMethods for interfacing with clinical systems0.80text
maintain.Patient privacyText mining systems operating with private medical data must respect its securityinstance ofMethods for interfacing with clinical systems0.80text
ensure it is rendered anonymous where appropriateinstance ofMethods for interfacing with clinical systems0.80text
maintaininstance ofMethods for interfacing with clinical systems0.80text
proteinsinstance ofNames and identifiers for biomolecules0.80text
genesinstance ofNames and identifiers for biomolecules0.80text
chemical compoundsinstance ofNames and identifiers for biomolecules0.80text
drugsinstance ofNames and identifiers for biomolecules0.80text

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