AIMC Topic: Information Storage and Retrieval

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Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review.

International journal of medical informatics
BACKGROUND: Natural Language Processing (NLP) applications have developed over the past years in various fields including its application to clinical free text for named entity recognition and relation extraction. However, there has been rapid develo...

Characteristics and Emerging Trends in Research on Rehabilitation Robots from 2001 to 2020: Bibliometric Study.

Journal of medical Internet research
BACKGROUND: The past 2 decades have seen rapid development in the use of robots for rehabilitation. Research on rehabilitation robots involves interdisciplinary activities, making it a great challenge to obtain comprehensive insights in this research...

Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature.

Journal of biomedical semantics
BACKGROUND: Drug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For the first time, active learning (AL) is studied in DDI IR analysis. DDI IR analysis from PubMed abs...

FooDis: A food-disease relation mining pipeline.

Artificial intelligence in medicine
Nowadays, it is really important and crucial to follow the new biomedical knowledge that is presented in scientific literature. To this end, Information Extraction pipelines can help to automatically extract meaningful relations from textual data tha...

Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review.

Journal of medical Internet research
BACKGROUND: European national disparities in the integration of data linkage (ie, being able to match patient data between databases) into routine public health activities were recently highlighted. In France, the claims database covers almost the wh...

Methodological information extraction from randomized controlled trial publications: a pilot study.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Most biomedical information extraction (IE) approaches focus on entity types such as diseases, drugs, and genes, and relations such as gene-disease associations. In this paper, we introduce the task of methodological IE to support fine-grained qualit...

PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning.

Neural networks : the official journal of the International Neural Network Society
Event temporal relation extraction is an important task for information extraction. The existing methods usually rely on feature engineering and require post-process to achieve optimization, though inconsistent optimization may occur in the post-proc...

Contextualized medication information extraction using Transformer-based deep learning architectures.

Journal of biomedical informatics
OBJECTIVE: To develop a natural language processing (NLP) system to extract medications and contextual information that help understand drug changes. This project is part of the 2022 n2c2 challenge.

Review of Natural Language Processing in Pharmacology.

Pharmacological reviews
Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and use it in various applications. This area has rapidly developed in the...

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.

Computers in biology and medicine
BACKGROUND: Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and other challenges hinder the full utilisation of NLP for EHRs. V...