AIMC Topic: Narration

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Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Natural language processing (NLP) of symptoms from electronic health records (EHRs) could contribute to the advancement of symptom science. We aim to synthesize the literature on the use of NLP to process or analyze symptom information doc...

Detecting Alzheimer's Disease from Continuous Speech Using Language Models.

Journal of Alzheimer's disease : JAD
BACKGROUND: Recently, many studies have been carried out to detect Alzheimer's disease (AD) from continuous speech by linguistic analysis and modeling. However, few of them utilize language models (LMs) to extract linguistic features and to investiga...

Improving Layman Readability of Clinical Narratives with Unsupervised Synonym Replacement.

Studies in health technology and informatics
We report on the development and evaluation of a prototype tool aimed to assist laymen/patients in understanding the content of clinical narratives. The tool relies largely on unsupervised machine learning applied to two large corpora of unlabeled te...

Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.

Studies in health technology and informatics
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. ...

MetaMap Lite in Excel: Biomedical Named-Entity Recognition for Non-Technical Users.

Studies in health technology and informatics
We developed an easy-to-use tool for non-technical biomedical researchers to conduct Named-Entity Recognition (NER) on biomedical text, in a familiar spreadsheet environment. The system is a simple, offline, easy to install, end-user front-end to the...

A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives.

Studies in health technology and informatics
Disease ontology, defined as a causal chain of abnormal states, is believed to be a valuable knowledge base in medical information systems. Automatic mapping between electronic health records (EHR) and disease ontology is indispensable for applying d...

An Ontology-Based Approach to Estimate the Frequency of Rare Diseases in Narrative-Text Radiology Reports.

Studies in health technology and informatics
This study sought to use ontology-based knowledge to identify patients with rare diseases and to estimate the frequency of those diseases in a large database of radiology reports. Natural language processing methods were applied to 12,377,743 narrari...

Unsupervised Abbreviation Expansion in Clinical Narratives.

Studies in health technology and informatics
Clinical narratives are typically produced under time pressure, which incites the use of abbreviations and acronyms. To expand such short forms in a correct way eases text comprehension and further semantic processing. We propose a completely unsuper...

Developing Methodologies to Find Abbreviated Laboratory Test Names in Narrative Clinical Documents by Generating High Quality Q-Grams.

Studies in health technology and informatics
Laboratory test names are used as basic information to diagnose diseases. However, this kind of medical information is usually written in a natural language. To find this information, lexicon based methods have been good solutions but they cannot fin...

Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing.

JAMA psychiatry
IMPORTANCE: Suicide represents the 10th leading cause of death across age groups in the United States (12.6 cases per 100 000) and remains challenging to predict. While many individuals who die by suicide are seen by physicians before their attempt, ...