AIMC Topic: Cross-Sectional Studies
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Integrating Metabolomics Domain Knowledge with Explainable Machine Learning in Atherosclerotic Cardiovascular Disease Classification.
International journal of molecular sciences
Nov 30, 2024
Metabolomic data often present challenges due to high dimensionality, collinearity, and variability in metabolite concentrations. Machine learning (ML) application in metabolomic analyses is enabling the extraction of meaningful information from comp...
Attitudes of nurses toward artificial intelligence: A multicenter comparison.
Work (Reading, Mass.)
Nov 29, 2024
BackgroundArtificial intelligence (AI) is transforming medical practices with rapidly developing technologies and the innovative solutions it provides. In order for this transformation to be successfully integrated into healthcare services, healthcar...
Applying natural language processing to understand symptoms among older adult home healthcare patients with urinary incontinence.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Nov 27, 2024
INTRODUCTION: Little is known about the range and frequency of symptoms among older adult home healthcare patients with urinary incontinence, as this information is predominantly contained in clinical notes. Natural language processing can uncover sy...
Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.
ANZ journal of surgery
Nov 27, 2024
INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rectal cancer patients. Artificial intelligence algorithms have allowed for easier acquisition of BC measurements, creating a comprehensive BC profile in ...
Development and validation of a rheumatoid arthritis case definition: a machine learning approach using data from primary care electronic medical records.
BMC medical informatics and decision making
Nov 27, 2024
BACKGROUND: Rheumatoid Arthritis (RA) is a chronic inflammatory disease that is primarily diagnosed and managed by rheumatologists; however, it is often primary care providers who first encounter RA-related symptoms. This study developed and validate...
Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model.
JMIR nursing
Nov 27, 2024
BACKGROUND: Globally, the rates at which the aging population and the prevalence of chronic diseases are increasing are substantial. With declining birth rates and a growing percentage of older individuals, the demand for nursing staff is steadily ri...
Assessing greenspace and cardiovascular health through deep-learning analysis of street-view imagery in a cohort of US children.
Environmental research
Nov 26, 2024
BACKGROUND: Accurately capturing individuals' experiences with greenspace at ground-level can provide valuable insights into their impact on children's health. However, most previous research has relied on coarse satellite-based measurements.
Machine-Learning-Based Predictive Model for Bothersome Stress Urinary Incontinence Among Parous Women in Southeastern China.
International urogynecology journal
Nov 25, 2024
INTRODUCTION AND HYPOTHESIS: Accurate identification of female populations at high risk for urinary incontinence (UI) and early intervention are potentially effective initiatives to reduce the prevalence of UI. We aimed to apply machine-learning tech...
The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers.
BMC public health
Nov 25, 2024
BACKGROUND: Workplace may not only increase the risk of heat-related illnesses and injuries but also compromise work efficiency, particularly in a warming climate. This study aimed to utilize machine learning (ML) and deep learning (DL) algorithms to...
The relationship between artificial intelligence anxiety and unemployment anxiety among university students.
Work (Reading, Mass.)
Nov 22, 2024
BackgroundThe idea that people will lose their jobs because of robots with artificial intelligence is one of the biggest recent concerns about artificial intelligence technology. There are predictions that unemployment will increase with the introduc...
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