AIMC Topic: Forecasting

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Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites.

Genomics, proteomics & bioinformatics Jan 11, 2019
As a newly-identified protein post-translational modification, malonylation is involved in a variety of biological functions. Recognizing malonylation sites in substrates represents an initial but crucial step in elucidating the molecular mechanisms ...
Lysine Malonates Machine Learning Protein Processing, Post-Translational Forecasting Amino Acids Amino Acid Sequence Animals Deep Learning
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Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory.

Computational intelligence and neuroscience Jan 2, 2019
Preventive maintenance activities require a tool to be offline for long hour in order to perform the prescribed maintenance activities. Although preventive maintenance is crucial to ensure operational reliability and efficiency of the tool, long hour...
Time Factors Semiconductors Forecasting Neural Networks, Computer Reproducibility of Results Machine Learning
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Prediction of fatty liver disease using machine learning algorithms.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for preven...
Fatty Liver Taiwan Early Diagnosis Female Aged Algorithms Humans Male Adult Forecasting Neural Networks, Computer Middle Aged Electronic Health Records Machine Learning ROC Curve
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Prediction of sepsis patients using machine learning approach: A meta-analysis.

Computer methods and programs in biomedicine Dec 26, 2018
STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and feasible tool for predicting sepsis remains elusive. However, early and accurate prediction of sepsis could help physicians with proper treatments an...
Humans Machine Learning Forecasting Algorithms Sepsis Area Under Curve
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Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.

Addiction (Abingdon, England) Dec 21, 2018
BACKGROUND AND AIMS: The experience of alcohol use among adolescents is complex, with international differences in age of purchase and individual differences in consumption and consequences. This latter underlines the importance of prediction modelin...
Regression Analysis Cross-Cultural Comparison Underage Drinking Logistic Models Support Vector Machine Australia Risk-Taking Forecasting Neural Networks, Computer Humans Child Female Adolescent Machine Learning Canada Male Algorithms Cohort Studies
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Response prediction of nonlinear hysteretic systems by deep neural networks.

Neural networks : the official journal of the International Neural Network Society Dec 18, 2018
Nonlinear hysteretic systems are common in many engineering problems. The maximum response estimation of a nonlinear hysteretic system under stochastic excitations is an important task for designing and maintaining such systems. Although a nonlinear ...
Forecasting Nonlinear Dynamics Humans Neural Networks, Computer
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[Artificial Intelligence with Radiology as a Trailblazer for Super-Diagnostics: An Essay].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Dec 13, 2018
Germany Artificial Intelligence Forecasting Radiology Humans
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The Role of Artificial Intelligence in Interventional Oncology: A Primer.

Journal of vascular and interventional radiology : JVIR Dec 7, 2018
Workflow Patient Selection Diffusion of Innovation Clinical Decision-Making Diagnosis, Computer-Assisted Liver Neoplasms Medical Oncology Radiography, Interventional Humans Neural Networks, Computer Artificial Intelligence Machine Learning Forecasting
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Artificial intelligence-enabled healthcare delivery.

Journal of the Royal Society of Medicine Dec 3, 2018
In recent years, there has been massive progress in artificial intelligence (AI) with the development of deep neural networks, natural language processing, computer vision and robotics. These techniques are now actively being applied in healthcare wi...
Artificial Intelligence Forecasting Heuristics Technology Assessment, Biomedical Humans Critical Pathways Delivery of Health Care, Integrated
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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Machine Learning Forecasting Retrospective Studies Aged, 80 and over Adult Female Aged Humans Area Under Curve Patient Admission ROC Curve Emergency Service, Hospital Male New South Wales Middle Aged Logistic Models Bayes Theorem Adolescent Triage
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