AIMC Topic: Natural Language Processing

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Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: Normalizing clinical mentions to concepts in standardized medical terminologies, in general, is challenging due to the complexity and variety of the terms in narrative medical records. In this article, we introduce our work on a clinical n...
Machine Learning Semantics Unified Medical Language System Humans Natural Language Processing
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
Deep Learning ROC Curve Medical Subject Headings Natural Language Processing Terminology as Topic Semantics Unified Medical Language System
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The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task track 3, focused on medical concept normalization (MCN) in clinical records. This track aimed to assess the state of the art...
Information Storage and Retrieval Unified Medical Language System Patient Discharge Summaries Natural Language Processing Datasets as Topic Humans Deep Learning
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Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: We sought to assess the need for additional coverage of dietary supplements (DS) in the Unified Medical Language System (UMLS) by investigating (1) the overlap between the integrated DIetary Supplements Knowledge base (iDISK) DS ingredient...
Dietary Supplements Natural Language Processing Unified Medical Language System Knowledge Bases Terminology as Topic
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"Say it Louder, Say it Clear" - Assessing the Utility of Natural Language Processing.

Annals of surgery Oct 1, 2020
Natural Language Processing Surgical Wound Infection Humans
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Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

JAMA oncology Oct 1, 2020
This cross-sectional study applies natural language processing to electronic health records from a large health care delivery system to examine performance status documentation among patients newly diagnosed with colorectal cancer.
Natural Language Processing Functional Status Documentation Male Middle Aged Adult Colorectal Neoplasms Female Humans Aged
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Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

Annals of surgery Oct 1, 2020
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
Male Middle Aged Aged Adult Population Surveillance Natural Language Processing Surgical Wound Infection Cohort Studies Mobile Applications Humans Quality Improvement Female Surgical Procedures, Operative
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Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: Concept normalization, the task of linking phrases in text to concepts in an ontology, is useful for many downstream tasks including relation extraction, information retrieval, etc. We present a generate-and-rank concept normalization syst...
Humans Neural Networks, Computer Natural Language Processing Patient Discharge Summaries Unified Medical Language System Systematized Nomenclature of Medicine RxNorm
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Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.
Support Vector Machine Natural Language Processing Humans Patient Safety Semantics Risk Management Unified Medical Language System Medical Errors Datasets as Topic
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A natural language processing approach based on embedding deep learning from heterogeneous compounds for quantitative structure-activity relationship modeling.

Chemical biology & drug design Sep 1, 2020
Over the past decade, rapid development in biological and chemical technologies such as high-throughput screening, parallel synthesis, has been significantly increased the amount of data, which requires the creation and the integration of new analyti...
Natural Language Processing Drug Discovery Quantitative Structure-Activity Relationship Neural Networks, Computer Deep Learning Algorithms
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