AI Medical Compendium Topic:
Forecasting

Clear Filters Showing 1001 to 1010 of 1509 articles

Forecasting future Humphrey Visual Fields using deep learning.

PloS one Apr 5, 2019
PURPOSE: To determine if deep learning networks could be trained to forecast future 24-2 Humphrey Visual Fields (HVFs).
Linear Models Deep Learning Visual Field Tests Aged Models, Statistical Adult Humans Databases, Factual Visual Fields Male Female Glaucoma Algorithms Forecasting Middle Aged Disease Progression Spatio-Temporal Analysis
View on PubMed DOI

A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Disease prediction based on Electronic Health Records (EHR) has become one hot research topic in biomedical community. Existing work mainly focuses on the prediction of one target disease, and little work is proposed for multiple associat...
Humans Risk Factors Hypertension Kidney Diseases Neural Networks, Computer Forecasting Electronic Health Records
View on PubMed DOI

Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems.

Computational intelligence and neuroscience Apr 1, 2019
Accurate prediction of the short time series with highly irregular behavior is a challenging task found in many areas of modern science. Such data fluctuations are not systematic and hardly predictable. In recent years, artificial neural networks hav...
Nonlinear Dynamics Algorithms Humans Forecasting Uncertainty Neural Networks, Computer Data Accuracy
View on PubMed DOI

On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.

Neural networks : the official journal of the International Neural Network Society Mar 29, 2019
Outlet ferrous ion concentration is an essential indicator to manipulate the goethite process in the zinc hydrometallurgy plant. However, it cannot be measured on-line, which leads to the delay of this feedback information. In this study, a self-adju...
Feedback Minerals Neurons Neural Networks, Computer Algorithms Forecasting Metallurgy Ferrous Compounds Iron Compounds
View on PubMed DOI

Financial time series forecasting using twin support vector regression.

PloS one Mar 13, 2019
Financial time series forecasting is a crucial measure for improving and making more robust financial decisions throughout the world. Noisy data and non-stationarity information are the two key factors in financial time series prediction. This paper ...
Time Factors Support Vector Machine Regression Analysis Financial Management Models, Economic Investments Humans Forecasting Databases, Factual Decision Making, Computer-Assisted
View on PubMed DOI

Risk-based postprandial hypoglycemia forecasting using supervised learning.

International journal of medical informatics Mar 11, 2019
BACKGROUND: Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postpra...
Supervised Machine Learning Postprandial Period Insulin Infusion Systems Diabetes Mellitus, Type 1 Hypoglycemic Agents Hypoglycemia Blood Glucose Insulin Humans Forecasting Retrospective Studies Female Male
View on PubMed DOI

Online learning with an almost perfect expert.

Proceedings of the National Academy of Sciences of the United States of America Mar 8, 2019
We study multiclass online learning, where a forecaster predicts a sequence of elements drawn from a finite set using the advice of n experts. Our main contributions are to analyze the scenario where the best expert makes a bounded number b of mistak...
Models, Theoretical Supervised Machine Learning Algorithms Forecasting
View on PubMed DOI

Recursive neural networks in hospital bed occupancy forecasting.

BMC medical informatics and decision making Mar 7, 2019
BACKGROUND: Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel's holiday ...
Bed Occupancy Holidays Hospitals Models, Theoretical Humans Neural Networks, Computer Machine Learning Forecasting
View on PubMed DOI

The present and future of deep learning in radiology.

European journal of radiology Mar 2, 2019
The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected the healthcare industry it has also influenced global businesses. Within a span of very few years, ad...
Deep Learning Radiology Radiologists Delivery of Health Care Quality of Life Humans Artificial Intelligence Forecasting
View on PubMed DOI

Artificial intelligence and dermatology: opportunities, challenges, and future directions.

Seminars in cutaneous medicine and surgery Mar 1, 2019
The application of artificial intelligence (AI) to medicine has considerable potential within dermatology, where the majority of diagnoses are based on visual pattern recognition. Opportunities for AI in dermatology include the potential to automate ...
Dermatology Artificial Intelligence Forecasting Humans Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals