AIMC Topic: Forecasting

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Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions.

International journal of radiation oncology, biology, physics Jan 22, 2025
This white paper examines the potential of pioneering technologies and artificial intelligence-driven solutions in advancing clinical trials involving radiation therapy. As the field of radiation therapy evolves, the integration of cutting-edge appro...
Humans Artificial Intelligence Forecasting Radiation Oncology Neoplasms Clinical Trials as Topic Immunotherapy Radiotherapy, Image-Guided
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Time series forecasting of bed occupancy in mental health facilities in India using machine learning.

Scientific reports Jan 21, 2025
Machine learning models are vital for forecasting and optimizing healthcare parameters, especially in the context of rising mental health issues in India and globally. With increasing demand for mental health services, effective resource management, ...
Mental Health Services Forecasting Hospitals, Psychiatric Humans India Bed Occupancy Machine Learning
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Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.

BMC medical informatics and decision making Jan 20, 2025
BACKGROUND: Post bariatric hypoglycaemic (PBH) is a late complication of weight loss surgery, characterised by critically low blood glucose levels following meal-induced glycaemic excursions. The disabling consequences of PBH underline the need for t...
Prediction Algorithms Adult Humans Male Algorithms Hypoglycemia Deep Learning Middle Aged Forecasting Bariatric Surgery Decision Support Systems, Clinical Gastric Bypass Female
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MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Long time series forecasting has extensive applications in various fields such as power dispatching, traffic control, and weather forecasting. Recently, models based on the Transformer architecture have dominated the field of time series forecasting....
Time Factors Neural Networks, Computer Algorithms Forecasting Humans
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection.

PloS one Jan 15, 2025
Accurate energy demand forecasting is critical for efficient energy management and planning. Recent advancements in computing power and the availability of large datasets have fueled the development of machine learning models. However, selecting the ...
Humans Forecasting Deep Learning Algorithms Genetic Algorithms
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A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach.

PloS one Jan 14, 2025
This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep le...
Models, Theoretical Forecasting Aviation Airports Wind Humans Deep Learning
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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy.

PloS one Jan 14, 2025
Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time...
Investments Forecasting Models, Economic Machine Learning Algorithms Humans Neural Networks, Computer
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The Future of Artificial Intelligence Using Images and Clinical Assessment for Difficult Airway Management.

Anesthesia and analgesia Jan 10, 2025
Artificial intelligence (AI) algorithms, particularly deep learning, are automatic and sophisticated methods that recognize complex patterns in imaging data providing high qualitative assessments. Several machine-learning and deep-learning models usi...
Laryngoscopy Intubation, Intratracheal Machine Learning Forecasting Predictive Value of Tests Airway Management Humans Deep Learning Artificial Intelligence
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Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.

Nature communications Jan 10, 2025
Integrating prior epidemiological knowledge embedded within mechanistic models with the data-mining capabilities of artificial intelligence (AI) offers transformative potential for epidemiological modeling. While the fusion of AI and traditional mech...
Public Health Data Mining Humans Forecasting Communicable Diseases Artificial Intelligence
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Enhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities.

PloS one Jan 10, 2025
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Co...
Neural Networks, Computer Forecasting Wind Air Pollutants Air Pollution Chile Cities Environmental Monitoring Sulfur Dioxide Particulate Matter Seasons
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