AIMC Topic: Natural Language Processing

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Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
A longstanding issue with knowledge bases that discuss drug-drug interactions (DDIs) is that they are inconsistent with one another. Computerized support might help experts be more objective in assessing DDI evidence. A requirement for such systems i...
Natural Language Processing Publications Drug Interactions Computers Databases, Factual Pilot Projects Data Mining Humans Machine Learning
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What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Online physician review (OPR) websites have been increasingly used by healthcare consumers to make informed decisions in selecting healthcare providers. However, consumer-generated online reviews are often unstructured and contain plural topics with ...
Health Services Quality of Health Care Physicians Data Mining Patient Satisfaction Natural Language Processing Humans Internet Computers Delivery of Health Care
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Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
We present findings on using natural language processing to classify tobacco-related entries from problem lists found within patient's electronic health records. Problem lists describe health-related issues recorded during a patient's medical visit; ...
Natural Language Processing Tobacco Products Medical Records, Problem-Oriented Tobacco Use Humans Electronic Health Records
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Conversational Agents for Chronic Disease Self-Management: A Systematic Review.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
We conducted a systematic literature review to assess how conversational agents have been used to facilitate chronic disease self-management. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was used. Literatu...
Communication Chronic Disease Natural Language Processing Semantics Self-Management Self Care Mental Health Humans Artificial Intelligence Adult
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A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still deb...
Humans Machine Learning Documentation Semantics Terminology as Topic Database Management Systems Algorithms Radiography Radiation Dosage Databases, Factual Diagnostic Imaging Radiometry Natural Language Processing Data Mining
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SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
New medical research concerning the spine and its diseases are incrementally made available through biomedical literature repositories. Several Natural Language Processing (NLP) tasks, like Semantic Role Labelling (SRL) and Information Extraction (IE...
Information Storage and Retrieval Semantics Humans Biomedical Research Natural Language Processing Spine
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Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
Physicians, Primary Care Angina Pectoris Chest Pain Data Collection Documentation Electronic Health Records Male Middle Aged Computer Systems Primary Health Care Natural Language Processing Humans
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RadLex Normalization in Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on standardizing the entities to a common radiology-specific vocabulary. Furth...
Humans Radiology Documentation Unified Medical Language System Radiology Information Systems Deep Learning Natural Language Processing Diagnostic Imaging Vocabulary, Controlled
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Selection of Clinical Text Features for Classifying Suicide Attempts.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being explored to better identify patients, a process called EHR ph...
Data Mining International Classification of Diseases Female Male Prevalence Suicide, Attempted Humans Algorithms ROC Curve Cohort Studies Machine Learning Phenotype Natural Language Processing Electronic Health Records
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Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Dietary supplements (DSs) have been widely used in the U.S. and evaluated in clinical trials as potential interventions for various diseases. However, many clinical trials face challenges in recruiting enough eligible patients in a timely fashion, ca...
Databases, Factual Electronic Health Records Deep Learning Humans Feasibility Studies Patient Selection Clinical Trials as Topic Models, Theoretical Partnership Practice Dietary Supplements Natural Language Processing
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