AIMC Topic: United States
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Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer's Disease Stigma on Twitter.
The journals of gerontology. Series B, Psychological sciences and social sciences
Sep 1, 2017
OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer...
Automatic health record review to help prioritize gravely ill Social Security disability applicants.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2017
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited service under the Compassionate Allowance (CAL) initiative, but CAL software focuses exclusively on i...
[Sugar content in common prepackaged sugary foods sampling from supermarkets].
Wei sheng yan jiu = Journal of hygiene research
May 1, 2017
OBJECTIVE: To analyze the content of sugar in the sugary foods in China, in order to provide data for further assessment of the level of consumption of sugar among residents.
MORE INTELLIGENCE FOR RADIOLOGY Machine learning offers promise, but much work lies ahead.
Health data management
May 1, 2017
Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach.
Medical care
Mar 1, 2017
BACKGROUND: Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood.
Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.
AIDS and behavior
Feb 1, 2017
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predicting HIV testing uptake among substance users in substance use disorder treatment programs by applyin...
Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches.
JAMA cardiology
Feb 1, 2017
IMPORTANCE: Several attempts have been made at developing models to predict 30-day readmissions in patients with heart failure, but none have sufficient discriminatory capacity for clinical use. Machine-learning (ML) algorithms represent a novel appr...
Comparison of Grouping Methods for Template Extraction from VA Medical Record Text.
Studies in health technology and informatics
Jan 1, 2017
We investigate options for grouping templates for the purpose of template identification and extraction from electronic medical records. We sampled a corpus of 1000 documents originating from Veterans Health Administration (VA) electronic medical rec...
Ontological Realism for the Research Domain Criteria for Mental Disorders.
Studies in health technology and informatics
Jan 1, 2017
At the heart of the Research Domain Criteria for Mental Disorders is a matrix in which functional aspects of behavior are related to genotypic and (endo-)phenotypic research findings, and the various techniques through which they can been observed. T...
Boundary-Pushing Healthcare Tech.
Biomedical instrumentation & technology
Jan 1, 2017
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