AIMC Topic:
Models, Theoretical

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AI on a chip.

Lab on a chip Aug 26, 2020
Artificial intelligence (AI) has dramatically changed the landscape of science, industry, defence, and medicine in the last several years. Supported by considerably enhanced computational power and cloud storage, the field of AI has shifted from most...
Algorithms Models, Theoretical Lab-On-A-Chip Devices Humans Artificial Intelligence Machine Learning
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Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Machine learning models trained on electronic health records have achieved high prognostic accuracy in test datasets, but little is known about their embedding into clinical workflows. We implemented a random forest-based algorithm to iden...
Models, Theoretical Electronic Health Records Machine Learning Workflow Aged Algorithms Female Delirium Prospective Studies Hospitalization Middle Aged Humans Aged, 80 and over Risk Assessment Male ROC Curve
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Categorization of digitized artworks by media with brain programming.

Applied optics May 10, 2020
This work describes the use of brain programming applied to the categorization problem of art media. The art categorization problem-from the standpoint of materials and techniques used by artists-presents a challenging task and is considered an open ...
Humans Machine Learning Choice Behavior Cognition Databases, Factual Models, Theoretical Paintings Brain Computer Simulation
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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 Phenotype Genetic Association Studies Machine Learning Models, Theoretical Algorithms
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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...
Adult Cross-Sectional Studies Male Algorithms Female Young Adult Models, Theoretical Keratoconus Corneal Topography Deep Learning China ROC Curve Humans Artificial Intelligence Machine Learning Refractive Surgical Procedures Tomography
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From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Biostatistics (Oxford, England) Apr 1, 2020
Causality Datasets as Topic Mortality Biostatistics Artificial Intelligence Biomedical Research Models, Theoretical Humans
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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.
Adult Prediabetic State Models, Theoretical Prevalence Male Socioeconomic Factors Algorithms ROC Curve Middle Aged Humans Female Area Under Curve Nutrition Surveys Machine Learning Risk Factors
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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 ...
Government Regulation Organizational Policy Models, Theoretical Ethics, Medical Humans Workflow Artificial Intelligence Delivery of Health Care
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