AIMC Topic: Models, Theoretical

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Combining data assimilation and machine learning to build data-driven models for unknown long time dynamics-Applications in cardiovascular modeling.

International journal for numerical methods in biomedical engineering Jun 6, 2021
We propose a method to discover differential equations describing the long-term dynamics of phenomena featuring a multiscale behavior in time, starting from measurements taken at the fast-scale. Our methodology is based on a synergetic combination of...
Machine Learning Algorithms Models, Theoretical
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Modeling of aquifer vulnerability index using deep learning neural networks coupling with optimization algorithms.

Environmental science and pollution research international Jun 3, 2021
A reliable assessment of the aquifer contamination vulnerability is essential for the conservation and management of groundwater resources. In this study, a recent technique in artificial intelligence modeling and computational optimization algorithm...
Environmental Monitoring Deep Learning Models, Theoretical Groundwater Artificial Intelligence Neural Networks, Computer Algorithms
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Evaluating the Machine Learning Literature: A Primer and User's Guide for Psychiatrists.

The American journal of psychiatry Jun 3, 2021
Humans Machine Learning Mental Disorders Natural Language Processing Psychiatry Decision Support Systems, Clinical Models, Theoretical
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Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images.

Scientific reports Jun 3, 2021
Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of death within 1 year of fracture. This study proposes an automated method to detect pelvic fractures on 3-dimensional computed tomography (3D-CT). Deep convo...
Aged Aged, 80 and over Young Adult Adult Tomography, X-Ray Computed Female Reproducibility of Results Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Models, Theoretical Sensitivity and Specificity Male Middle Aged Humans Neural Networks, Computer Pelvic Bones Fractures, Bone
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Robust diagnostic classification via Q-learning.

Scientific reports Jun 3, 2021
Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional insights toward complex clinical diagnoses. In this context these tools desire two additional propert...
Clinical Decision-Making Machine Learning Decision Support Systems, Clinical Software Attention Deficit Disorder with Hyperactivity Models, Theoretical Humans Algorithms Autism Spectrum Disorder
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A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy images.

PloS one Jun 3, 2021
PURPOSE: Infiltration of activated dendritic cells and inflammatory cells in cornea represents an important marker for defining corneal inflammation. Deep transfer learning has presented a promising potential and is gaining more importance in compute...
Dendritic Cells Pterygium ROC Curve Keratitis Dry Eye Syndromes Microscopy, Confocal Diagnosis, Computer-Assisted Models, Theoretical Humans Ophthalmologists Sensitivity and Specificity Area Under Curve Deep Learning Cornea
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Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.

PloS one Jun 3, 2021
OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations.
Mortality Databases, Factual Retrospective Studies Hospitalization Risk Assessment Humans Machine Learning Models, Theoretical Treatment Outcome Area Under Curve Medicare ROC Curve Logistic Models United States
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Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

Respiratory medicine May 26, 2021
OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of healthcare resources, prevention of hospitalization and improve patient outcomes. We aimed to develop models using machine learning to predict risk of ex...
Hospitalization Young Adult Adult Risk Assessment Disease Progression Male Middle Aged Forecasting Female Sweden Humans Machine Learning Status Asthmaticus Models, Theoretical Data Interpretation, Statistical Comorbidity Environmental Exposure Adolescent Risk Cohort Studies
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Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.

NeuroImage May 25, 2021
Most existing algorithms for automatic 3D morphometry of human brain MRI scans are designed for data with near-isotropic voxels at approximately 1 mm resolution, and frequently have contrast constraints as well-typically requiring T1-weighted images ...
Neuroimaging Humans Brain Models, Theoretical Magnetic Resonance Imaging Computer Simulation Deep Learning
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Health improvement framework for actionable treatment planning using a surrogate Bayesian model.

Nature communications May 25, 2021
Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Machine learning (ML) has been the primary concern of diagnosis support according to comprehensive patient information. A prominen...
Models, Theoretical Health Promotion Hypertension Renal Insufficiency, Chronic Bayes Theorem Algorithms Clinical Decision-Making Reproducibility of Results Humans Machine Learning
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