AIMC Topic: Models, Theoretical

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Prediction of hepatitis E using machine learning models.

PloS one Sep 17, 2020
BACKGROUND: Accurate and reliable predictions of infectious disease can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission. A great variety of models have been developed for this task. Howev...
Models, Theoretical Humans Support Vector Machine Machine Learning Hepatitis E Incidence
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Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices.

Surgery Sep 9, 2020
Setting patient and family expectations for postoperative outcomes is an important aspect of care, a cornerstone of which is accurate, personalized, and explainable risk estimation. Modern machine learning offers a plethora of models that can effecti...
Computers, Handheld Humans Machine Learning Algorithms Clinical Decision-Making Risk Factors Risk Assessment Postoperative Complications Models, Theoretical Telemedicine Postoperative Care Outcome Assessment, Health Care Disease Management General Surgery
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Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation.

Journal of medical Internet research Sep 9, 2020
BACKGROUND: The COVID-19 pandemic has caused major disruptions worldwide since March 2020. The experience of the 1918 influenza pandemic demonstrated that decreases in the infection rates of COVID-19 do not guarantee continuity of the trend.
Neural Networks, Computer Pandemics COVID-19 Republic of Korea Humans Coronavirus Infections Mass Media Betacoronavirus Pneumonia, Viral SARS-CoV-2 Deep Learning Time Factors Models, Theoretical
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System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Sep 4, 2020
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited...
Humans Machine Learning Forecasting Prospective Studies Radiotherapy Standard of Care ROC Curve Models, Theoretical Area Under Curve Emergency Service, Hospital Ambulatory Care Quality Improvement Chemoradiotherapy Male Female Middle Aged Hospitalization Risk Assessment Aged Neoplasms
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Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.

Ophthalmology Sep 2, 2020
PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm a...
Disease Progression Genotype Models, Theoretical Area Under Curve Aged Male Middle Aged Macular Degeneration Life Style Retinal Drusen Genetics Humans Machine Learning Phenotype Clinical Decision-Making Female Risk Factors
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Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots.

International journal of environmental research and public health Aug 28, 2020
Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist ac...
Fuzzy Logic Carbon Decision Making Environment China Travel Humans Leisure Activities Carbon Footprint Models, Theoretical
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m7GPredictor: An improved machine learning-based model for predicting internal m7G modifications using sequence properties.

Analytical biochemistry Aug 14, 2020
As one of the most important post-transcriptional modifications, the N7-methylguanosine (m7G) plays a key role in many RNA processing events. The accurate identification of m7G is crucial for elucidating its biological significance and future applica...
Databases, Genetic Area Under Curve Guanosine Machine Learning User-Computer Interface ROC Curve Models, Theoretical Support Vector Machine
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Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k-ε turbulence and Eulerian model data set.

Scientific reports Aug 14, 2020
Computing gas and liquid interactions based on interfacial force models require a proper turbulence model that accurately resolve the turbulent scales such as turbulence kinetic energy and turbulence dissipation rate with cheap computational resource...
Computer Simulation Models, Theoretical Fuzzy Logic Datasets as Topic Gases Hydrodynamics Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms
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Gaussian process inference modelling of dynamic robot control for expressive piano playing.

PloS one Aug 14, 2020
Piano is a complex instrument, which humans learn to play after many years of practice. This paper investigates the complex dynamics of the embodied interactions between a human and piano, in order to gain insights into the nature of humans' physical...
Feedback Humans Models, Theoretical Robotics Sound Normal Distribution Music
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Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method.

International journal of environmental research and public health Aug 11, 2020
To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allo...
Humans Floods Resource Allocation Fuzzy Logic Water Risk Management Cities Rivers Models, Theoretical Conservation of Natural Resources
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