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Development of Clinical Information Extraction Model from Unstructured Clinical Reports using Natural Language Processing

DC Field Value Language
dc.contributor.advisor박, 래웅-
dc.contributor.author박, 지명-
dc.date.accessioned2023-11-16T05:43:54Z-
dc.date.available2023-11-16T05:43:54Z-
dc.date.issued2023-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/26836-
dc.language.isoen-
dc.titleDevelopment of Clinical Information Extraction Model from Unstructured Clinical Reports using Natural Language Processing-
dc.title.alternative자연어 처리 기술을 이용한 비정형 의무 기록지에서의 임상 정보 추출 모델 개발-
dc.typeThesis-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000032486-
dc.subject.keywordNatural Language Processing-
dc.subject.keywordMachine Learning-
dc.subject.keywordNeoplasms-
dc.subject.keywordPathology-
dc.description.degreeDoctor-
dc.contributor.department대학원 의생명과학과-
dc.contributor.affiliatedAuthor박, 지명-
dc.date.awarded2023-
dc.type.localTheses-
dc.citation.date2023-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.description.tableOfContentsI. Introduction 1

A. Background 1

B. Purpose of Study 5

II. Materials and Methods 6

A. System Architecture 6

B. Data Source 9

C. Annotation 10

D. Model Development 17

E. Model Validation 23

III. Results 24

A. Annotation 24

B. Model Performance 27

C. Model Validation 45

IV. Discussion 67

A. Main Findings 67

B. Limitations 72

V. Conclusion 75

References 76
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Theses > Graduate School of Biomedical Sciences > Doctor
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