AI Medical Compendium Topic:
Forecasting

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Intelligent Techniques for Detecting Network Attacks: Review and Research Directions.

Sensors (Basel, Switzerland)
The significant growth in the use of the Internet and the rapid development of network technologies are associated with an increased risk of network attacks. Network attacks refer to all types of unauthorized access to a network including any attempt...

A muggles guide to deep learning wizardry.

Radiography (London, England : 1995)
OBJECTIVES: Growing interest in the applications of artificial intelligence (AI) and, in particular, deep learning (DL) in nuclear medicine and radiology partitions the professional community. At one end of the spectrum are our expert DL wizards deve...

[Heart failure care in a digitalized future : A discourse on resource-sparing structures and self-determined patients].

Der Internist
Digital health solutions, applications of artificial intelligence (AI) and new technologies, such as cardiac magnetic resonance imaging and cardiac human genetics are currently being validated in cardiac healthcare pathways. They show promising appro...

Comparative optimization of global solar radiation forecasting using machine learning and time series models.

Environmental science and pollution research international
The increasing use of solar energy as a source of renewable energy has led to increasing the interest in photovoltaic (PV) power outputs forecasting. In the meantime, forecasting global solar radiation (GSR) depends heavily on weather conditions, whi...

Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...

An Economic Forecasting Method Based on the LightGBM-Optimized LSTM and Time-Series Model.

Computational intelligence and neuroscience
Stock price prediction is very important in financial decision-making, and it is also the most difficult part of economic forecasting. The factors affecting stock prices are complex and changeable, and stock price fluctuations have a certain degree o...

Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.

Sensors (Basel, Switzerland)
Road traffic accidents have been listed in the top 10 global causes of death for many decades. Traditional measures such as education and legislation have contributed to limited improvements in terms of reducing accidents due to people driving in und...

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.

PloS one
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...

Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data.

Scientific reports
Clinical studies from WHO have demonstrated that only 50-70% of patients adhere properly to prescribed drug therapy. Such adherence failure can impact therapeutic efficacy for the patients in question and compromises data quality around the populatio...