4.7 Article

Hybrid method to automatically extract medical document tree structure

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Health Care Sciences & Services

A framework for de-identification of free-text data in electronic medical records enabling secondary use

Louis Mercorelli et al.

Summary: Clinical free-text data is a vast and untapped source of rich information. However, the lack of transparency in existing de-identification software tools makes it difficult to assess the potential risks associated with releasing de-identified clinical free-text data. This case study describes the development of a framework for releasing de-identified clinical free-text data and ensuring data safety through algorithm design and manual review.

AUSTRALIAN HEALTH REVIEW (2022)

Article Computer Science, Artificial Intelligence

Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm

Laith Abualigah et al.

Summary: This paper presents an improved Arithmetic Optimization Algorithm (IAOA) for text document clustering. The IAOA integrates Opposition-based learning (OBL) and Levy flight distribution (LFD) to overcome the limitations of traditional AOA. Experimental results demonstrate the superiority of IAOA compared to other optimization algorithms on multiple benchmark datasets.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Automation & Control Systems

Microblog sentiment analysis via embedding social contexts into an attentive LSTM

Yang Jing et al.

Summary: This paper proposes a deep learning method to fully capture the features of microblog relations and enhance sentiment analysis by considering both implicit and explicit features. By constructing a graph to model microblog relations and embedding it, a novel neural network is designed to integrate social context knowledge with text information. The attention mechanism is introduced to handle different contributions of words to the classification results. Experimental results demonstrate that the proposed model consistently and significantly outperforms existing state-of-the-art methods.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Article Computer Science, Theory & Methods

Named Entity Recognition and Relation Extraction: State-of-the-Art

Zara Nasar et al.

Summary: This study focuses on discussing methods for extracting key insights from textual data, with Named Entity Recognition and Relation Extraction being major topics. Survey findings suggest that deep-learning-based hybrid and joint models currently lead the state-of-the-art, while challenges such as scarcity of datasets and computational costs still exist.

ACM COMPUTING SURVEYS (2021)

Article Engineering, Mechanical

1D convolutional neural networks and applications: A survey

Serkan Kiranyaz et al.

Summary: CNNs have become the standard for various Computer Vision and Machine Learning operations, with 1D CNNs offering advantages in applications with 1D signals. This paper provides a comprehensive review of 1D CNNs architecture, principles, and their recent progress in engineering applications.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Computer Science, Interdisciplinary Applications

A section identification tool: Towards HL7 CDA/CCR standardization in summaries

Iakes Goenaga et al.

Summary: This research focuses on automatically standardizing Spanish Electronic Discharge Summaries using three different approaches to enhance interoperability in healthcare systems. The best system achieved a 93.03% F-score for section identification, with results showing variability in section types and hospitals.

JOURNAL OF BIOMEDICAL INFORMATICS (2021)

Article Automation & Control Systems

Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification

Zijuan Zhao et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

Review Health Care Sciences & Services

Current approaches to identify sections within clinical narratives from electronic health records: a systematic review

Alexandra Pomares-Quimbaya et al.

BMC MEDICAL RESEARCH METHODOLOGY (2019)

Proceedings Paper Engineering, Multidisciplinary

Convolution Neural Network for Text Mining and Natural Language Processing

N. Widiastuti

2ND INTERNATIONAL CONFERENCE ON INFORMATICS, ENGINEERING, SCIENCE, AND TECHNOLOGY (INCITEST 2019) (2019)

Article Medical Informatics

Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning

Aryan Arbabi et al.

JMIR MEDICAL INFORMATICS (2019)

Review Computer Science, Interdisciplinary Applications

Clinical information extraction applications: A literature review

Yanshan Wang et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

Article Environmental Sciences

A Text Structuring Method for Chinese Medical Text Based on Temporal Information

Runtong Zhang et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)

Review Health Care Sciences & Services

Data Processing and Text Mining Technologies on Electronic Medical Records: A Review

Wencheng Sun et al.

JOURNAL OF HEALTHCARE ENGINEERING (2018)

Article Medical Informatics

Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative

Wangjin Lee et al.

HEALTHCARE INFORMATICS RESEARCH (2018)

Article Medicine, Research & Experimental

Assessment of the consistency among three drug compendia in listing and ranking of drug-drug interactions

Božana S. Nikolić et al.

Bosnian Journal of Basic Medical Sciences (2017)