AIMC Topic: Natural Language Processing

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Natural Language Processing Based Approach for Identification of Problems in Medical Image Management Using PACS.

Studies in health technology and informatics
We investigated problems concerning medical imaging management using PACS in medical settings through text analysis. We conducted a questionnaire survey in Hokkaido, Japan, where PACS related problems were described by radiological technologists. Aft...

NimbleMiner: A Novel Multi-Lingual Text Mining Application.

Studies in health technology and informatics
This demonstration showcase will present a novel open access text mining application called NimbleMiner. NimbleMiner's architecture is language agnostic and it can be potentially applied in multiple languages. The system was applied in a series of re...

Do You Need Embeddings Trained on a Massive Specialized Corpus for Your Clinical Natural Language Processing Task?

Studies in health technology and informatics
We explore the impact of data source on word representations for different NLP tasks in the clinical domain in French (natural language understanding and text classification). We compared word embeddings (Fasttext) and language models (ELMo), learned...

Unsupervised Phrase-Level Query Rewriting for Assisting Search in Clinical Free Text.

Studies in health technology and informatics
We report on the pilot evaluation of an experimental query-based search functionality that enables phrase-level query rewriting in an unsupervised way. It is intended for supporting search in clinical text. Qualitative evaluation is done by three cli...

Recovery Medication from Free Text to a Structured Form.

Studies in health technology and informatics
We studied methods to convert medical prescriptions in free text to a structured form for pharmacy insructions and planning nursing activities in hospitalized patients. We compared Natural Language Processing (NLP) with Parsing Process (PP), both for...

Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing.

Studies in health technology and informatics
Social and behavioral factors influence health but are infrequently recorded in electronic health records (EHRs). Here, we demonstrate that psychosocial vital signs can be extracted from EHR data. We processed structured and unstructured EHR data usi...

Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data.

Studies in health technology and informatics
We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinical notes with mentions of alcohol and substance abuse. NimbleMiner allows users to rapidly discover clinical vocabularies (using word embedding model) ...

Renal Biopsy Recommendation Based on Text Understanding.

Studies in health technology and informatics
Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal biopsy may be needed to determine the specific type of kidney disease, its severity, and the best treatment for it. This study aims to detmine if a text...

Improving Adherence to Clinical Pathways Through Natural Language Processing on Electronic Medical Records.

Studies in health technology and informatics
This paper presents a pioneering and practical experience in the development and implementation of a clinical decision support system (CDSS) based on natural language processing (NLP) and artificial intelligence (AI) techniques. Our CDSS notifies pri...

Extracting Symptom Names and Disease-Symptom Relationships from Web Texts Using a Multi-Column Convolutional Neural Network.

Studies in health technology and informatics
We propose a method to create large-scale Japanese medical dictionaries that include symptom names and information about the relationship between a disease and its symptoms using a large web archive that includes large amounts of text written by non-...