Systematic literature review of information extraction from textual data: recent methods, applications, trends, and challenges

MHA Abdullah, N Aziz, SJ Abdulkadir… - IEEE …, 2023 - ieeexplore.ieee.org
Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

A comprehensive review on knowledge graphs for complex diseases

Y Yang, Y Lu, W Yan - Briefings in Bioinformatics, 2023 - academic.oup.com
In recent years, knowledge graphs (KGs) have gained a great deal of popularity as a tool for
storing relationships between entities and for performing higher level reasoning. KGs in …

Multi-task joint learning model for Chinese word segmentation and syndrome differentiation in traditional Chinese medicine

C Hu, S Zhang, T Gu, Z Yan, J Jiang - International Journal of …, 2022 - mdpi.com
Evidence-based treatment is the basis of traditional Chinese medicine (TCM), and the
accurate differentiation of syndromes is important for treatment in this context. The automatic …

Automated coding of under-studied medical concept domains: linking physical activity reports to the International Classification of Functioning, Disability, and Health

D Newman-Griffis, E Fosler-Lussier - Frontiers in digital health, 2021 - frontiersin.org
Linking clinical narratives to standardized vocabularies and coding systems is a key
component of unlocking the information in medical text for analysis. However, many …

Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review

CYY Kesiku, A Chaves-Villota, B Garcia-Zapirain - Information, 2022 - mdpi.com
The classification of biomedical literature is engaged in a number of critical issues that
physicians are expected to answer. In many cases, these issues are extremely difficult. This …

Data structuring of electronic health records: a systematic review

JM de Oliveira, CA da Costa, RS Antunes - Health and Technology, 2021 - Springer
The medical field has experienced a series of transformations with the adoption of new
technologies. One of the aspects that experienced significant changes is how a patient's …

Image Edge Detection Strategy Based on Sub-pixel Location

LIU Hao, REN Hong, Z Dingxuan… - Nongye Jixie Xuebao …, 2024 - nyjxxb.net
Image edge detection is a technique that extracts mutation information from images and is
widely used in the fields of image processing and computer vision. The effectiveness of …

[PDF][PDF] Improving the Accuracy of Medical Records in Healthcare Institutions

T Frazier - 2024 - scholarworks.waldenu.edu
Using archaic healthcare recording systems can result in errors that negatively impact
healthcare leadership and patient care delivery practices. Errors in healthcare records may …

[PDF][PDF] Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review. Information 2022, 13, 499

CY Kesiku, A Chaves-Villotas, B Garcia-Zapirain - 2022 - researchgate.net
The classification of biomedical literature is engaged in a number of critical issues that
physicians are expected to answer. In many cases, these issues are extremely difficult. This …

Text Mining Algorithms for Cancer Diagnostics

N Fernandez, V Anu - … Conference on Big Data (Big Data), 2021 - ieeexplore.ieee.org
In recent years, several text mining models have been developed for supporting the process
of early and accurate cancer diagnosis. This study provides a comparative analysis of …