AI Medical Compendium Topic:
Forecasting

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Magnetic Properties as a Proxy for Predicting Fine-Particle-Bound Heavy Metals in a Support Vector Machine Approach.

Environmental science & technology
The development of a reasonable statistical method of predicting the concentrations of fine-particle-bound heavy metals remains challenging. In this study, daily PM samples were collected within four different seasons from a Chinese mega-city. The an...

Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation.

Environmental monitoring and assessment
Transition index maps (TIMs) are key products in urban growth simulation models. However, their operationalization is still conflicting. Our aim was to compare the prediction accuracy of three TIM-based spatially explicit land cover change (LCC) mode...

Modeling long-term human activeness using recurrent neural networks for biometric data.

BMC medical informatics and decision making
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three ty...

Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market.

PloS one
Load information plays an important role in deregulated electricity markets, since it is the primary factor to make critical decisions on production planning, day-to-day operations, unit commitment and economic dispatch. Being able to predict the loa...

The hospital of tomorrow in 10 points.

Critical care (London, England)
Technology has advanced rapidly in recent years and is continuing to do so, with associated changes in multiple areas, including hospital structure and function. Here we describe in 10 points our vision of some of the ways in which we see our hospita...

Big Data and Machine Learning-Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference.

Journal of the American College of Radiology : JACR
The 38th radiology Intersociety Committee reviewed the current state and future direction of clinical data science and its application to radiology practice. The assembled participants discussed the need to use current technology to better generate a...

Forecasting stochastic neural network based on financial empirical mode decomposition.

Neural networks : the official journal of the International Neural Network Society
In an attempt to improve the forecasting accuracy of stock price fluctuations, a new one-step-ahead model is developed in this paper which combines empirical mode decomposition (EMD) with stochastic time strength neural network (STNN). The EMD is a p...

Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle.

Environmental research
Exposure to erythemally-effective solar ultraviolet radiation (UVR) that contributes to malignant keratinocyte cancers and associated health-risk is best mitigated through innovative decision-support systems, with global solar UV index (UVI) forecast...

Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines.

Journal of biomedical informatics
Measuring toxicity is an important step in drug development. Nevertheless, the current experimental methods used to estimate the drug toxicity are expensive and time-consuming, indicating that they are not suitable for large-scale evaluation of drug ...