AIMC Topic: Natural Language Processing

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Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing.

Cognitive processing
Neuro Linguistic Programming (NLP) is a methodology used for recognition of human behavioral patterns and modification of the behavior. A significant part of this process is influenced by the theory of representational systems which equates to the fi...

Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records.

BMC medical informatics and decision making
BACKGROUND: Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health care services and facilitie...

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke.

PloS one
BACKGROUND AND PURPOSE: This project assessed performance of natural language processing (NLP) and machine learning (ML) algorithms for classification of brain MRI radiology reports into acute ischemic stroke (AIS) and non-AIS phenotypes.

Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition.

Journal of biomedical informatics
Clinical named entity recognition aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research...

Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders.

Forensic science international
Investigating crimes against children, specifically sexual solicitations, are complicated because not all offenders are contact-driven, meaning they want to meet the minor for sex in the physical world; instead, some offenders are fantasy-driven, in ...

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.

Journal of biomedical informatics
We propose an efficient natural language processing approach for inferring the BI-RADS final assessment categories by analyzing only the mammogram findings reported by the mammographer in narrative form. The proposed hybrid method integrates semantic...

Natural language processing of lifestyle modification documentation.

Health informatics journal
Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment of many disorders including hypertension, obesity, and diabetes. Lifestyle modification data are not easily retrieved or used in research due to thei...

MCN: A comprehensive corpus for medical concept normalization.

Journal of biomedical informatics
Normalization of clinical text involves linking different ways of talking about the same clinical concept to the same term in the standardized vocabulary. To date, very few annotated corpora for normalization have been available, and existing corpora...

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...