AIMC Topic: Natural Language Processing

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Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Humans Machine Learning Anaplastic Lymphoma Kinase DNA Mutational Analysis Kentucky ErbB Receptors Lung Neoplasms Carcinoma, Non-Small-Cell Lung Population Surveillance Natural Language Processing Mutation Registries Genetic Testing SEER Program Aged Algorithms Adult Female Male Reproducibility of Results Middle Aged
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deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: In biomedicine, there is a wealth of information hidden in unstructured narratives such as research articles and clinical reports. To exploit these data properly, a word sense disambiguation (WSD) algorithm prevents downstream difficulties...
Neural Networks, Computer Algorithms Deep Learning Biological Ontologies Medical Subject Headings Unified Medical Language System Vocabulary, Controlled Natural Language Processing Data Mining Datasets as Topic Systematized Nomenclature of Medicine
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Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports.

JCO clinical cancer informatics Apr 1, 2019
PURPOSE: Although the bulk of patient-generated health data are increasing exponentially, their use is impeded because most data come in unstructured format, namely as free-text clinical reports. A variety of natural language processing (NLP) methods...
Magnetic Resonance Imaging Natural Language Processing Radiology Electronic Health Records Medical Informatics Research Report Humans Reproducibility of Results Algorithms Brain Neoplasms ROC Curve
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3Dscript: animating 3D/4D microscopy data using a natural-language-based syntax.

Nature methods Apr 1, 2019
Colonic Neoplasms Motion Microscopy Programming Languages Computational Biology Natural Language Processing Diagnostic Imaging Rotation Animals Imaging, Three-Dimensional Mice Software Algorithms Reproducibility of Results
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Criteria2Query: a natural language interface to clinical databases for cohort definition.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2019
OBJECTIVE: Cohort definition is a bottleneck for conducting clinical research and depends on subjective decisions by domain experts. Data-driven cohort definition is appealing but requires substantial knowledge of terminologies and clinical data mode...
Clinical Trials as Topic Eligibility Determination Patient Selection Databases as Topic Information Storage and Retrieval Humans Machine Learning User-Computer Interface Natural Language Processing
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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 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...
Humans Algorithms Symptom Assessment Databases, Bibliographic Electronic Health Records Narration Natural Language Processing Data Mining
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Spell checker for consumer language (CSpell).

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: Automated understanding of consumer health inquiries might be hindered by misspellings. To detect and correct various types of spelling errors in consumer health questions, we developed a distributable spell-checking tool, CSpell, that han...
Natural Language Processing Information Seeking Behavior Consumer Health Information Consumer Health Informatics Humans Algorithms Language
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Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

Stroke Mar 1, 2019
Background and Purpose- Triaging of referrals to transient ischemic attack (TIA) clinics is aided by risk stratification. Deep learning-based natural language processing, a type of machine learning, may be able to assist with the prediction of cerebr...
Treatment Outcome Magnetic Resonance Imaging Humans Predictive Value of Tests Triage Middle Aged Natural Language Processing Female Ischemic Attack, Transient Neural Networks, Computer Risk Assessment Machine Learning Area Under Curve Aged Deep Learning Cerebrovascular Disorders Aged, 80 and over False Positive Reactions Male
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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised ma...
Alcoholism Wounds and Injuries Trauma Centers Humans Middle Aged Machine Learning Female Cohort Studies Electronic Health Records Adult ROC Curve Male Natural Language Processing
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Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
We propose to use segment graph convolutional and recurrent neural networks (Seg-GCRNs), which use only word embedding and sentence syntactic dependencies, to classify relations from clinical notes without manual feature engineering. In this study, t...
Humans Neural Networks, Computer Electronic Health Records Natural Language Processing Data Mining Datasets as Topic
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