AIMC Topic: Narration

Clear Filters Showing 121 to 130 of 138 articles

Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: An adverse drug event (ADE) refers to an injury resulting from medical intervention related to a drug including harm caused by drugs or from the usage of drugs. Extracting ADEs from clinical records can help physicians associate adverse ev...
Electronic Health Records Narration Natural Language Processing Neural Networks, Computer Algorithms Information Storage and Retrieval Terminology as Topic Drug-Related Side Effects and Adverse Reactions Humans
View on PubMed DOI

Ensemble method-based extraction of medication and related information from clinical texts.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Accurate and complete information about medications and related information is crucial for effective clinical decision support and precise health care. Recognition and reduction of adverse drug events is also central to effective patient c...
Humans Algorithms Electronic Health Records Drug-Related Side Effects and Adverse Reactions Narration Information Storage and Retrieval Natural Language Processing
View on PubMed DOI

An ensemble of neural models for nested adverse drug events and medication extraction with subwords.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article describes an ensembling system to automatically extract adverse drug events and drug related entities from clinical narratives, which was developed for the 2018 n2c2 Shared Task Track 2.
Information Storage and Retrieval Neural Networks, Computer Narration Natural Language Processing Humans Electronic Health Records Drug-Related Side Effects and Adverse Reactions
View on PubMed DOI

A study of deep learning approaches for medication and adverse drug event extraction from clinical text.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article presents our approaches to extraction of medications and associated adverse drug events (ADEs) from clinical documents, which is the second track of the 2018 National NLP Clinical Challenges (n2c2) shared task.
Machine Learning Pharmaceutical Preparations Algorithms Drug-Related Side Effects and Adverse Reactions Electronic Health Records Information Storage and Retrieval Humans Narration Natural Language Processing Deep Learning
View on PubMed DOI

Data-driven method to enhance craniofacial and oral phenotype vocabularies.

Journal of the American Dental Association (1939) Nov 1, 2019
BACKGROUND: A significant amount of clinical information captured as free-text narratives could be better used for several applications, such as clinical decision support, ontology development, evidence-based practice, and research. The Human Phenoty...
Electronic Health Records Narration Vocabulary Natural Language Processing Humans Phenotype
View on PubMed DOI

Learning to detect and understand drug discontinuation events from clinical narratives.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article...
Drug Therapy Pharmacovigilance Product Surveillance, Postmarketing Electronic Health Records Natural Language Processing Support Vector Machine Machine Learning Narration Humans Area Under Curve
View on PubMed DOI

Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.

Studies in health technology and informatics Aug 21, 2019
In this paper, we trained a set of Portuguese clinical word embedding models of different granularities from multi-specialty and multi-institutional clinical narrative datasets. Then, we assessed their impact on a downstream biomedical NLP task of Ur...
Machine Learning Natural Language Processing Portugal Language Narration
View on PubMed DOI

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 Apr 1, 2019
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...
Natural Language Processing Data Mining Databases, Bibliographic Symptom Assessment Algorithms Electronic Health Records Narration Humans
View on PubMed DOI

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

Journal of Alzheimer's disease : JAD Jan 1, 2019
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...
Aged, 80 and over Machine Learning Male Language Middle Aged Alzheimer Disease Linguistics Humans Female Speech Neuropsychological Tests Aged Narration Photic Stimulation
View on PubMed DOI

Improving Layman Readability of Clinical Narratives with Unsupervised Synonym Replacement.

Studies in health technology and informatics Jan 1, 2018
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...
Semantics Comprehension Humans Unsupervised Machine Learning Natural Language Processing Narration Supervised Machine Learning
View on PubMed
Popular Topics
Recent Journals