AIMC Topic: Forecasting
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Deep learning prediction models based on EHR trajectories: A systematic review.
Journal of biomedical informatics
Jun 26, 2023
BACKGROUND: Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' future health-related risks. It enables healthcare systems to increase the...
An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology.
Scientific reports
Jun 22, 2023
Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging task. This research paper intro...
Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists.
Academic radiology
Jun 21, 2023
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is changing radiology by automating tasks and assisting in abnormality detection and understanding perceptions of medical students, radiology trainees, and radiologists is vital for preparing the...
Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective.
Neuroinformatics
Jun 17, 2023
Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging (dMRI) data is of great significance in health and disease. For example, analysis of fiber tracts related to anatomically meaningful fiber bundles is highly ...
GPT-4: the future of artificial intelligence in medical school assessments.
Journal of the Royal Society of Medicine
Jun 15, 2023
A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.
Surgery
Jun 13, 2023
BACKGROUND: Acute kidney injury is a common postoperative complication affecting between 10% and 30% of surgical patients. Acute kidney injury is associated with increased resource usage and chronic kidney disease development, with more severe acute ...
A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.
Sensors (Basel, Switzerland)
Jun 8, 2023
The increasing penetration of renewable energy sources tends to redirect the power systems community's interest from the traditional power grid model towards the smart grid framework. During this transition, load forecasting for various time horizons...
Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study.
Sensors (Basel, Switzerland)
Jun 7, 2023
Subsurface inclusions are one of the most common defects that affect the inner quality of continuous casting slabs. This increases the defects in the final products and increases the complexity of the hot charge rolling process and may even cause bre...
The future of artificial intelligence in intensive care: moving from predictive to actionable AI.
Intensive care medicine
Jun 6, 2023
Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network.
IEEE journal of biomedical and health informatics
Jun 5, 2023
Exploring the relationship between circular RNA (circRNA) and disease is beneficial for revealing the mechanisms of disease pathogenesis. However, a blind search for all possible associations between circRNAs and diseases through biological experimen...
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