Search results for "Mining"

showing 10 items of 1730 documents

S3-Leitlinie "Diagnostik, Therapie und Nachsorge des Melanoms" - Kurzfassung

2013

Oncologymedicine.medical_specialtySkin Neoplasmsbusiness.industryMelanomaMedizinGuidelineDermatologymedicine.diseaseMedical OncologyText miningInternal medicineGermanymedicineHumansbusinessMelanomaFollow-Up Studies
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The role of neoadjuvant or adjuvant chemotherapy for invasive bladder cancer

1998

Oncologymedicine.medical_specialtyText miningBladder cancerOncologybusiness.industryAdjuvant chemotherapyUrologyInternal medicineMedicinebusinessmedicine.diseaseUrologic Oncology: Seminars and Original Investigations
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1818P Body mass index (BMI) is not a cancer risk factor for BRCA1/2 carriers: A systematic review and meta-analysis of case-control studies

2021

Oncologymedicine.medical_specialtyText miningOncologybusiness.industryMeta-analysisInternal medicineCase-control studymedicineHematologyCancer risk factorbusinessBody mass indexAnnals of Oncology
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High-risk neuroblastoma: where do we go?

2020

Oncologymedicine.medical_specialtybusiness.industryMEDLINEInduction chemotherapyHematologyInduction Chemotherapymedicine.diseaseNeuroblastomaText miningOncologyInternal medicineNeuroblastomaCell Line TumorMedicineHumansHigh risk neuroblastomabusinessAnnals of oncology : official journal of the European Society for Medical Oncology
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Immunotherapy: New Options in Gastrointestinal Cancers?

2019

Oncologymedicine.medical_specialtybusiness.industrymedicine.medical_treatmentGastroenterologyImmunotherapyImmunotherapy Gastrointestinal CancersText miningInternal medicinemedicineSurgeryddc:610businessInterdisciplinary DiscussionVisceral Medicine
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Higher frequency of HCV in patients with non-Hodgkin lymphoma: Is it enough to suggest an association with B-cell NHL?

2003

Oncologymedicine.medical_specialtymedicine.anatomical_structureText miningHepatologybusiness.industryInternal medicinemedicineHodgkin lymphomaIn patientbusinessB cellHepatology
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Estrogen content and metabolism in human breast tumor tissues and cells.

1996

Oncologymedicine.medical_specialtymedicine.drug_classbusiness.industryGeneral NeuroscienceEstrogen receptorTumor cellsBreast NeoplasmsEstrogensMetabolismTumor tissueGeneral Biochemistry Genetics and Molecular BiologyText miningHistory and Philosophy of ScienceEstrogenInternal medicinemedicineCancer researchTumor Cells CulturedHumansFemalebusinessHuman breastAnnals of the New York Academy of Sciences
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Molecular, Biological and Structural Features of V

2018

Microtubules are important drug targets in tumor cells, owing to their role in supporting and determining the cell shape, organelle movement and cell division. The complementarity-determining regions (CDRs) of immunoglobulins have been reported to be a source of anti-tumor peptide sequences, independently of the original antibody specificity for a given antigen. We found that, the anti-Lewis B mAb light-chain CDR1 synthetic peptide Rb44, interacted with microtubules and induced depolymerization, with subsequent degradation of actin filaments, leading to depolarization of mitochondrial membrane-potential, increase of ROS, cell cycle arrest at G2/M, cleavage of caspase-9, caspase-3 and PARP, …

Oncologytubulinapoptosiscomplementarity-determining regionpeptideOriginal Researchmetastatic melanomamicrotubuleFrontiers in oncology
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Ontology Views for Ontology Change Management

2014

International audience; In the literature, ontology change management systems (OCMS) are direct implementation of the concept of “change management” stated by reference (Klein, 2004). Ontology change management combines ontol- ogy evolution and versioning features to manage ontol- ogy changes and their impacts. Since 2007, many works have combined ontology evolution and versioning into ontology change management systems (OCMS). The evolution subject has been massively studied in these works. They especially addressed the consistence issue for the application of changes on the ontology. These proposals constituted a consequent background for ontology change management but they did not take i…

Ontology Inference Layer[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceProcess ontologyURI[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genreRDFOpen Biomedical Ontologies[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]ontology evolution0202 electrical engineering electronic engineering information engineeringUpper ontologyontologyOWL DLOWLInformation retrievalOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontologymaterialized view020207 software engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]database viewontology mapping020201 artificial intelligence & image processingData miningComputingMethodologies_GENERALontology change managementOntology alignmentcomputer
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Data Mining of Specific-Domain Ontology Components

2008

This paper describes an approach for eliciting ontology components by using knowledge maps. The knowledge contained in a particular domain, any kind of text digital archive, is portrayed by assembling and displaying its ontology components.

Open Biomedical OntologiesOntology Inference LayerInformation retrievalComputer scienceOntology-based data integrationOntology componentsProcess ontologySuggested Upper Merged OntologyUpper ontologyData miningOntology (information science)computer.software_genrecomputer
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