AIMC Topic: Natural Language Processing

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Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.

Journal of digital imaging
Electronic medical record (EMR) systems provide easy access to radiology reports and offer great potential to support quality improvement efforts and clinical research. Harnessing the full potential of the EMR requires scalable approaches such as nat...

GraphCom: A multidimensional measure of graphic complexity applied to 131 written languages.

Behavior research methods
We report a new multidimensional measure of visual complexity (GraphCom) that captures variability in the complexity of graphs within and across writing systems. We applied the measure to 131 written languages, allowing comparisons of complexity and ...

Automatic Annotation Tool to Support Supervised Machine Learning for Scaphoid Fracture Detection.

Studies in health technology and informatics
The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiology reports. To achieve this goal, a rule-based method using a Natural Language Processing (NLP) tool ...

Development of an Automatic Coding System for Digestive Endoscopies.

Studies in health technology and informatics
Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and requires a good knowledge of the terminology besides a medical knowledge. This method offers an aut...

Biological Event Trigger Identification with Noise Contrastive Estimation.

IEEE/ACM transactions on computational biology and bioinformatics
Biological Event Extraction is an important task towards the goal of extracting biomedical knowledge from the scientific publications by capturing biomedical entities and their complex relations from the texts. As a crucial step in event extraction, ...

Improving Clinical Named-Entity Recognition with Transfer Learning.

Studies in health technology and informatics
Transfer learning is a powerful machine learning technique that enables the internalizing and reuse of prior knowledge to new tasks. Transfer learning is currently the starting point for recognition tasks such as computer vision. However, in natural ...

Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI.

Studies in health technology and informatics
Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Australian Modification) and ACHI (Australian Classification of Health Interventions) in acute and sub-acute hospitals in Australia for funding, insurance ...

Quro: Facilitating User Symptom Check Using a Personalised Chatbot-Oriented Dialogue System.

Studies in health technology and informatics
Automated conversational agents built with medical applications in mind, have the potential to reduce healthcare readmissions and improve accessibility to medical knowledge. In this work, we demonstrate the development and evaluation of an automated ...

Structuring Clinical Decision Support Rules for Drug Safety Using Natural Language Processing.

Studies in health technology and informatics
Drug safety is an important aspect in healthcare, resulting in a number of inadvertent events, which may harm the patients. IT based Clinical Decision Support (CDS), integrated in electronic-prescription or Electronic Health Records (EHR) systems, ca...

Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing.

Studies in health technology and informatics
Falls are generally classified into two groups in clinical settings in Japan: falls from the same level and falls from one level to another. We verified whether clinical staff could distinguish between these two types of falls by comparing 3,078 free...