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Robust Methods for Clinical Text Classification and Disease Understanding With NLP Extracted Symptoms From Clinical Notes.
Robust Methods for Clinical Text Classification and Disease Understanding With NLP Extracted Symptoms From Clinical Notes.
- 자료유형
- 학위논문
- Control Number
- 0017163080
- International Standard Book Number
- 9798384094524
- Dewey Decimal Classification Number
- 020
- Main Entry-Personal Name
- Zhou, Weipeng.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Washington., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 134 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- General Note
- Advisor: Yetisgen, Meliha.
- Dissertation Note
- Thesis (Ph.D.)--University of Washington, 2024.
- Summary, Etc.
- 요약Electronic Health Records (EHR) contain comprehensive medical and treatment histories of patients and have the potential to be used to provide better healthcare. A significant portion of the EHR is in the form of clinical notes and Natural Language Processing (NLP) methods can help extract hidden information from them. However, applying NLP in healthcare has challenges. Many of the clinical note datasets are scarce and imbalanced, making it difficult to develop generalizable and robust NLP methods. Additionally, effective use of NLP in healthcare requires close collaboration with medical experts to identify and understand meaningful clinical problems. This dissertation addresses these challenges and explores the application of NLP in healthcare. In Chapter 3 and 4, we develop generalizable and robust NLP methods for clinical note classification and female suicide report coding. In Chapter 5 and 6, we apply NLP to extract symptoms from clinical notes and study risk factors associated with out-of-hospital cardiac arrest (OHCA) and Long COVID.
- Subject Added Entry-Topical Term
- Information science.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Medicine.
- Subject Added Entry-Topical Term
- Bioinformatics.
- Index Term-Uncontrolled
- Electronic Health Records
- Index Term-Uncontrolled
- Natural Language Processing
- Index Term-Uncontrolled
- Out-of-hospital cardiac arrest
- Index Term-Uncontrolled
- Clinical notes
- Added Entry-Corporate Name
- University of Washington Biomedical Informatics and Medical Education
- Host Item Entry
- Dissertations Abstracts International. 86-03B.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:657278
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