AIMC Topic: Models, Theoretical

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Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression.

International journal of neural systems May 1, 2020
The training procedure of the minimal learning machine (MLM) requires the selection of two sets of patterns from the training dataset. These sets are called input reference points (IRP) and output reference points (ORP), which are used to build a map...
Humans Machine Learning Models, Theoretical Regression Analysis Pattern Recognition, Automated
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Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.

GigaScience May 1, 2020
BACKGROUND: Shape is a critical element of the visual appeal of strawberry fruit and is influenced by both genetic and non-genetic determinants. Current fruit phenotyping approaches for external characteristics in strawberry often rely on the human e...
Fruit Fragaria Inheritance Patterns Machine Learning Algorithms Phenotype Genetic Association Studies Models, Theoretical
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Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning.

JAMA ophthalmology May 1, 2020
IMPORTANCE: Evaluating corneal morphologic characteristics with corneal tomographic scans before refractive surgery is necessary to exclude patients with at-risk corneas and keratoconus. In previous studies, researchers performed screening with machi...
Cross-Sectional Studies Male Deep Learning Female Young Adult Adult China ROC Curve Models, Theoretical Keratoconus Machine Learning Refractive Surgical Procedures Corneal Topography Tomography Algorithms Humans Artificial Intelligence
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From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Biostatistics (Oxford, England) Apr 1, 2020
Biomedical Research Models, Theoretical Causality Humans Artificial Intelligence Datasets as Topic Mortality Biostatistics
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Spectral forecast: A general purpose prediction model as an alternative to classical neural networks.

Chaos (Woodbury, N.Y.) Mar 1, 2020
Here, we describe a general-purpose prediction model. Our approach requires three matrices of equal size and uses two equations to determine the behavior against two possible outcomes. We use an example based on photon-pixel coupling data to show tha...
Neural Networks, Computer Models, Theoretical
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Prediabetic State Humans Models, Theoretical Risk Factors Prevalence Socioeconomic Factors Machine Learning Male Adult ROC Curve Area Under Curve Algorithms Middle Aged Nutrition Surveys Female
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A governance model for the application of AI in health care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing ...
Organizational Policy Artificial Intelligence Delivery of Health Care Models, Theoretical Ethics, Medical Workflow Government Regulation Humans
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A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Eye & contact lens Mar 1, 2020
PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).
Humans Retrospective Studies Male Descemet Membrane Deep Learning Descemet Stripping Endothelial Keratoplasty Area Under Curve Corneal Endothelial Cell Loss Fuchs' Endothelial Dystrophy ROC Curve Female Tomography, Optical Coherence Aged Models, Theoretical Reoperation Visual Acuity
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Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics Feb 26, 2020
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...
Communication Devices for People with Disabilities Models, Theoretical Robotics Precision Medicine Humans Feasibility Studies Child Behavior Supervised Machine Learning Home Care Services User-Computer Interface Algorithms Cues Child Social Behavior Autism Spectrum Disorder Models, Psychological Self-Help Devices
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[Prognostic model of small sample critical diseases based on transfer learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2020
Aiming at the problem that the small samples of critical disease in clinic may lead to prognostic models with poor performance of overfitting, large prediction error and instability, the long short-term memory transferring algorithm (transLSTM) was p...
Prognosis Models, Theoretical Disease Machine Learning Algorithms Humans
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