AIMC Topic: Semantics

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Detecting modeling inconsistencies in SNOMED CT using a machine learning technique.

Methods (San Diego, Calif.) May 20, 2020
SNOMED CT is a comprehensive and evolving clinical reference terminology that has been widely adopted as a common vocabulary to promote interoperability between Electronic Health Records. Owing to its importance in healthcare, quality assurance becom...
Terminology as Topic Machine Learning Electronic Health Records Quality Control Medical Informatics Semantics Systematized Nomenclature of Medicine
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Summarization of biomedical articles using domain-specific word embeddings and graph ranking.

Journal of biomedical informatics May 19, 2020
Text summarization tools can help biomedical researchers and clinicians reduce the time and effort needed for acquiring important information from numerous documents. It has been shown that the input text can be modeled as a graph, and important sent...
Language Natural Language Processing Semantics Unified Medical Language System
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Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.

The Lancet. Digital health May 14, 2020
BACKGROUND: CT is the most common imaging modality in traumatic brain injury (TBI). However, its conventional use requires expert clinical interpretation and does not provide detailed quantitative outputs, which may have prognostic importance. We aim...
Tomography, X-Ray Computed Female Reproducibility of Results Humans Brain Radiographic Image Interpretation, Computer-Assisted Semantics Middle Aged Deep Learning Adolescent Child Brain Injuries, Traumatic Europe Young Adult Aged Adult Aged, 80 and over Male
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Deep learning: a turning point in acute neurology.

The Lancet. Digital health May 14, 2020
Tomography, X-Ray Computed Deep Learning Semantics Brain Injuries, Traumatic Neurology Humans
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SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition.

Sensors (Basel, Switzerland) May 13, 2020
The recognition of activities of daily living (ADL) in smart environments is a well-known and an important research area, which presents the real-time state of humans in pervasive computing. The process of recognizing human activities generally invol...
Algorithms Deep Learning Activities of Daily Living Humans Neural Networks, Computer Semantics
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Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity.

BMC medical informatics and decision making Apr 30, 2020
BACKGROUND: Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications such as Question Answer (QA), Information Retrieval (IR), etc. It is a typical regression problem,...
Natural Language Processing Information Storage and Retrieval Semantics Neural Networks, Computer Humans Language
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BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.

PLoS computational biology Apr 23, 2020
A massive number of biological entities, such as genes and mutations, are mentioned in the biomedical literature. The capturing of the semantic relatedness of biological entities is vital to many biological applications, such as protein-protein inter...
Semantics Protein Interaction Mapping Drug Interactions PubMed Data Mining Databases, Protein Electronic Health Records Publications Deep Learning Computational Biology Humans Algorithms
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Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial.

European radiology Mar 12, 2020
OBJECTIVE: To enhance the positive predictive value (PPV) of chest digital tomosynthesis (DTS) in the lung cancer detection with the analysis of radiomics features.
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Lung Neoplasms Aged Algorithms Logistic Models Radiology Middle Aged Tomography, X-Ray Computed Semantics Early Detection of Cancer Image Processing, Computer-Assisted Reproducibility of Results
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Matching patients to clinical trials using semantically enriched document representation.

Journal of biomedical informatics Mar 10, 2020
Recruiting eligible patients for clinical trials is crucial for reliably answering specific questions about medical interventions and evaluation. However, clinical trial recruitment is a bottleneck in clinical research and drug development. Our goal ...
Machine Learning Language Natural Language Processing Semantics Humans Neural Networks, Computer
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Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.

International journal of medical informatics Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
Expert Systems Delivery of Health Care Information Storage and Retrieval Unified Medical Language System Surveys and Questionnaires Humans Semantics Consumer Health Information Natural Language Processing Algorithms Search Engine
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