AIMC Topic: Humans

Clear Filters Showing 54531 to 54540 of 95995 articles

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...
Database Management Systems Terminology as Topic Radiation Dosage Radiometry Data Mining Documentation Semantics Humans Radiography Databases, Factual Machine Learning Natural Language Processing Algorithms Diagnostic Imaging
View on PubMed

Knowledge Extraction of Cohort Characteristics in Research Publications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
When healthcare providers review the results of a clinical trial study to understand its applicability to their practice, they typically analyze how well the characteristics of the study cohort correspond to those of the patients they see. We have pr...
Humans Artificial Intelligence Databases, Factual Cohort Studies Research Design Health Personnel Publications Knowledge Bases Decision Support Systems, Management
View on PubMed

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...
Spine Information Storage and Retrieval Semantics Humans Biomedical Research Natural Language Processing
View on PubMed

Leveraging digital media data for pharmacovigilance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
The development of novel drugs in response to changing clinical requirements is a complex and costly method with uncertain outcomes. Postmarket pharmacovigilance is essential as drugs often have under-reported side effects. This study intends to use ...
Pharmacovigilance Internet Drug-Related Side Effects and Adverse Reactions Humans Diagnostic Tests, Routine Machine Learning Social Media
View on PubMed

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 Computer Systems Primary Health Care Natural Language Processing Male Middle Aged Humans Electronic Health Records
View on PubMed

Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Our previous research shows that structured cancer DX description data accuracy varied across electronic health record (EHR) segments (e.g. encounter DX, problem list, etc.). We provide initial evidence corroborating these findings in EHRs from patie...
Medical Informatics Odds Ratio Chronic Disease Glycated Hemoglobin Datasets as Topic Humans Diabetes Mellitus Models, Statistical Machine Learning Electronic Health Records
View on PubMed

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
View on PubMed

Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Patient "no-shows" are missed appointments resulting in clinical inefficiencies, revenue loss, and discontinuity of care. Using secondary electronic health record (EHR) data, we used machine learning to predict patient no-shows in follow-up and new p...
Academic Medical Centers Humans No-Show Patients Appointments and Schedules Machine Learning Office Visits ROC Curve Electronic Health Records Ambulatory Care Facilities Ophthalmology Child Efficiency, Organizational
View on PubMed

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...
Female Data Mining Male International Classification of Diseases Prevalence Algorithms ROC Curve Phenotype Humans Natural Language Processing Electronic Health Records Machine Learning Suicide, Attempted Cohort Studies
View on PubMed

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 Partnership Practice Models, Theoretical Dietary Supplements Natural Language Processing
View on PubMed
Popular Topics
Recent Journals