Data processing and text mining technologies on electronic medical records: a review
Currently, medical institutes generally use EMR to record patient's condition, including
diagnostic information, procedures performed, and treatment results. EMR has been …
diagnostic information, procedures performed, and treatment results. EMR has been …
Evaluating temporal relations in clinical text: 2012 i2b2 challenge
Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …
Natural Language Processing Challenge for Clinical Records focused on the temporal …
[HTML][HTML] Extraction of temporal relations from clinical free text: A systematic review of current approaches
Background Temporal relations between clinical events play an important role in clinical
assessment and decision making. Extracting such relations from free text data is a …
assessment and decision making. Extracting such relations from free text data is a …
Extraction of temporal information from social media messages using the BERT model
Temporal information extraction from social media messages is of critical importance to
several geographical applications. Combined with the characteristics of temporal …
several geographical applications. Combined with the characteristics of temporal …
Regular expression based medical text classification using constructive heuristic approach
Medical text classification assigns medical related text into different categories such as
topics or disease types. Machine learning based techniques have been widely used to …
topics or disease types. Machine learning based techniques have been widely used to …
Learning for biomedical information extraction: Methodological review of recent advances
F Liu, J Chen, A Jagannatha, H Yu - arXiv preprint arXiv:1606.07993, 2016 - arxiv.org
Biomedical information extraction (BioIE) is important to many applications, including clinical
decision support, integrative biology, and pharmacovigilance, and therefore it has been an …
decision support, integrative biology, and pharmacovigilance, and therefore it has been an …
Relation extraction for colorectal cancer via deep learning with entity-aware feature orthogonal decomposition
Z Luo, J Feng, N Cai, X Wang, J Liao, Q Li… - Expert Systems with …, 2024 - Elsevier
Relation extraction is significant for text structuring of colorectal cancer (CRC) pathological
reports to facilitate doctors' disease diagnoses. Although many relation extraction methods …
reports to facilitate doctors' disease diagnoses. Although many relation extraction methods …
Temporal reasoning over clinical text: the state of the art
Objectives To provide an overview of the problem of temporal reasoning over clinical text
and to summarize the state of the art in clinical natural language processing for this task …
and to summarize the state of the art in clinical natural language processing for this task …
Multimodal learning for temporal relation extraction in clinical texts
Objectives This study focuses on refining temporal relation extraction within medical
documents by introducing an innovative bimodal architecture. The overarching goal is to …
documents by introducing an innovative bimodal architecture. The overarching goal is to …
Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain
Background and objective We live our lives by the calendar and the clock, but time is also an
abstraction, even an illusion. The sense of time can be both domain-specific and complex …
abstraction, even an illusion. The sense of time can be both domain-specific and complex …