AIMC Topic: United States
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A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.
BMC medical informatics and decision making
Dec 7, 2018
BACKGROUND: The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research ...
Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Immunizations are one of the most cost-effective interventions for preventing morbidity and mortality. As vaccines, related clinical knowledge and requirements change, clinical applications must be updated in a timely manner to avoid practicing outda...
Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
U.S. military veterans who were discharged from service for misconduct are at high risk for homelessness. Stratifying homelessness risk based on both military service factors and clinical characteristics could facilitate targeted provision of prevent...
Prevalence and predictors of C. difficile infections in hospitalized patients with major surgical procedures in the USA: Analysis using traditional and machine learning methods.
American journal of surgery
Dec 1, 2018
Disparities in the Treatment and Outcome of Stage I Non-Small-Cell Lung Cancer in the 21st Century.
Clinical lung cancer
Nov 20, 2018
BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely to die from cancer compared with Caucasian (C) individuals. Recent advancements in surgery and radiation have improved outcomes in early stage non-smal...
Machine learning approaches for predicting high cost high need patient expenditures in health care.
Biomedical engineering online
Nov 20, 2018
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients.
Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.
Environment international
Nov 7, 2018
Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical constituents emitted from various emission sources or through secondary reactions/processes; however, PM is regulated mostly based on its total mass c...
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.
PLoS medicine
Nov 6, 2018
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previ...
Retrospective Studies
Female
Reproducibility of Results
Aged
Adult
Humans
Deep Learning
Cross-Sectional Studies
Radiographic Image Interpretation, Computer-Assisted
United States
Male
Radiology Information Systems
Pneumonia
Middle Aged
Radiography, Thoracic
Predictive Value of Tests
Diagnosis, Computer-Assisted
The Role of the FDA in Ensuring the Safety and Efficacy of Artificial Intelligence Software and Devices.
Journal of the American College of Radiology : JACR
Oct 30, 2018
Significant predictors of mathematical literacy for top-tiered countries/economies, Canada, and the United States on PISA 2012: Case for the sparse regression model.
The British journal of educational psychology
Oct 29, 2018
BACKGROUND: National ranking from the triennial Programme of International Student Assessment (PISA) often serves as a barometer of national performance and human capital. Though excessive student- and school-level covariates (n > 700) may prove intr...
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