AIMC Topic: Natural Language Processing

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EUSKOR: End-to-end coreference resolution system for Basque.

PloS one
This paper describes the process of adapting the Stanford Coreference resolution module to the Basque language, taking into account the characteristics of the language. The module has been integrated in a linguistic analysis pipeline obtaining an end...

What do patients learn about psychotropic medications on the web? A natural language processing study.

Journal of affective disorders
BACKGROUND: Low rates of medication adherence remain a major challenge across psychiatry. In part, this likely reflects patient concerns about safety and adverse effects, accurate or otherwise. We therefore sought to characterize online information a...

A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.

BMC medical informatics and decision making
BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports performed in routine clinical pr...

Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Neural networks : the official journal of the International Neural Network Society
Neural networks (NNs) have become the state of the art in many machine learning applications, such as image, sound (LeCun et al., 2015) and natural language processing (Young et al., 2017; Linggard et al., 2012). However, the success of NNs remains d...

Challenges in the construction of knowledge bases for human microbiome-disease associations.

Microbiome
The last few years have seen tremendous growth in human microbiome research, with a particular focus on the links to both mental and physical health and disease. Medical and experimental settings provide initial sources of information about these lin...

Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports.

Applied clinical informatics
BACKGROUND: Despite advances in natural language processing (NLP), extracting information from clinical text is expensive. Interactive tools that are capable of easing the construction, review, and revision of NLP models can reduce this cost and impr...

Towards a top-down approach for an automatic discourse analysis for Basque: Segmentation and Central Unit detection tool.

PloS one
Lately, discourse structure has received considerable attention due to the benefits its application offers in several NLP tasks such as opinion mining, summarization, question answering, text simplification, among others. When automatically analyzing...

Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence.

BMJ evidence-based medicine
Evidence synthesis is a key element of evidence-based medicine. However, it is currently hampered by being labour intensive meaning that many trials are not incorporated into robust evidence syntheses and that many are out of date. To overcome this, ...

Towards a characterization of apparent contradictions in the biomedical literature using context analysis.

Journal of biomedical informatics
BACKGROUND: With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critic...

Active deep learning for the identification of concepts and relations in electroencephalography reports.

Journal of biomedical informatics
The identification of medical concepts, their attributes and the relations between concepts in a large corpus of Electroencephalography (EEG) reports is a crucial step in the development of an EEG-specific patient cohort retrieval system. However, th...