Semantic and Structural Analysis of MIMIC-CXR radiography reports with NLP Methods
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Univ
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Artificial intelligence that aims to imitate human decision-making processes, using human knowledge as a foundation, is a critical research area with various practical applications in different disciplines. In the health domain, machine learning and image processing techniques are increasingly being used to assist in diagnosing diseases. Many healthcare reports, such as epicrisis summaries prepared by clinical experts, contain crucial and valuable information. In addition to information extraction from healthcare reports, applications such as automatic healthcare report generation are among the natural language processing research areas based on this knowledge and experience. The primary goals are to reduce the workload of clinical experts, minimize the likelihood of errors, and save time to speed up the diagnosis process. The MIMIC-CXR dataset is a huge dataset consisting of chest radiographs and reports prepared by radiology experts related to these images. Before developing a natural language processingbased model, preprocessing steps were applied to the dataset, and the results of syntactic and semantic analyses performed on unstructured report datasets are presented. The results show that most examined words and phrases exhibit minimal semantic inference disparities. The generic named entity recognition method demonstrates comparatively lower effectiveness than the ngram technique in extracting word frequencies. However, named entity recognition facilitated the identification of medical entities within the dataset. This study is expected to provide insights for developing language models, particularly for developing a natural language processing model on the MIMIC-CXR dataset.
Açıklama
Anahtar Kelimeler
Natural Language Processing, Mimic-Cxr, Chest Radiology Report, Structural Analysis, Semantic Analysis
Kaynak
Journal of Polytechnic-Politeknik Dergisi
WoS Q Değeri
N/A
