DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Zukunft, Olaf | - |
dc.contributor.author | Gennadinik, Anna | - |
dc.date.accessioned | 2024-09-25T12:10:44Z | - |
dc.date.available | 2024-09-25T12:10:44Z | - |
dc.date.created | 2022-02-23 | - |
dc.date.issued | 2024-09-25 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.12738/16324 | - |
dc.description.abstract | Im Rahmen dieser Arbeit werden drei Modelle implementiert, die Relationen zwischen Erkrankungen und genetischen Markern in der biomedizinischen Literatur erkennen und extrahieren. Das Ziel dieser Arbeit ist es, drei Relation Extraction Verfahren zu vergleichen und einen Prototyp zu erstellen, der die Verarbeitung unstrukturierter biomedizinischer Texte und die Extrahierung wichtiger Zusammenhänge ermöglicht. | de |
dc.description.abstract | The aim of this work is to compare three relation extraction methods and to create a prototype that enables the processing of biomedical texts and the extraction of relationships between diseases and genetic markers. | en |
dc.language.iso | de | en_US |
dc.subject | Markergen | en_US |
dc.subject | SNP | en_US |
dc.subject | NLP | en_US |
dc.subject | Text Mining | en_US |
dc.subject | Relation Extraction | en_US |
dc.subject.ddc | 004: Informatik | en_US |
dc.title | Text Mining und Relation Extraction in der Markergenforschung | de |
dc.type | Thesis | en_US |
openaire.rights | info:eu-repo/semantics/openAccess | en_US |
thesis.grantor.department | Department Informatik | en_US |
thesis.grantor.universityOrInstitution | Hochschule für Angewandte Wissenschaften Hamburg | en_US |
tuhh.contributor.referee | Tropmann-Frick, Marina | - |
tuhh.identifier.urn | urn:nbn:de:gbv:18302-reposit-195052 | - |
tuhh.oai.show | true | en_US |
tuhh.publication.institute | Department Informatik | en_US |
tuhh.publication.institute | Fakultät Technik und Informatik | en_US |
tuhh.type.opus | Bachelor Thesis | - |
dc.type.casrai | Supervised Student Publication | - |
dc.type.dini | bachelorThesis | - |
dc.type.driver | bachelorThesis | - |
dc.type.status | info:eu-repo/semantics/publishedVersion | en_US |
dc.type.thesis | bachelorThesis | en_US |
dcterms.DCMIType | Text | - |
tuhh.dnb.status | domain | en_US |
item.advisorGND | Zukunft, Olaf | - |
item.creatorGND | Gennadinik, Anna | - |
item.languageiso639-1 | de | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.creatorOrcid | Gennadinik, Anna | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairetype | Thesis | - |
Appears in Collections: | Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BA_Text Mining und Relation Extraction in der Markergenforschung_geschwärzt.pdf | 2.46 MB | Adobe PDF | View/Open |
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