AIMC Topic: Models, Theoretical

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Convolutional neural network-based approach to estimate bulk optical properties in diffuse optical tomography.

Applied optics Feb 10, 2020
Deep learning has been actively investigated for various applications such as image classification, computer vision, and regression tasks, and it has shown state-of-the-art performance. In diffuse optical tomography (DOT), the accurate estimation of ...
Models, Theoretical Breast Light Time Factors Image Processing, Computer-Assisted Scattering, Radiation Tomography, Optical Humans Computer Simulation Deep Learning
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A deep neural network based hierarchical multi-label classification method.

The Review of scientific instruments Feb 1, 2020
With the accumulation of data generated by biological experimental instruments, using hierarchical multi-label classification (HMC) methods to process these data for gene function prediction has become very important. As the structure of the widely u...
Computational Biology Models, Theoretical Gene Ontology Deep Learning
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Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness.

Schizophrenia bulletin Jan 4, 2020
The rapid embracing of artificial intelligence in psychiatry has a flavor of being the current "wild west"; a multidisciplinary approach that is very technical and complex, yet seems to produce findings that resonate. These studies are hard to review...
Psychiatry Models, Theoretical Humans Machine Learning
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Optimal extraction bioactive components of tetramethylpyrazine in Chinese herbal medicine jointly using back propagation neural network and genetic algorithm in R language.

Pakistan journal of pharmaceutical sciences Jan 1, 2020
A combinational approach of back propagation neural network (BPNN) and genetic algorithm (GA) was proposed in the present study to optimize the extraction technology of tetramethylpyrazine (TMP) in Ligusticum wallichii Franchat. Based on the single f...
Ligusticum Drugs, Chinese Herbal Chromatography, High Pressure Liquid Neural Networks, Computer Algorithms Models, Theoretical Pyrazines
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Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy risks limit the sharing of such data on a wide scale. Various approaches have been developed to mitigate risk, including record simulation via genera...
Adult Male Child Electronic Health Records Female Datasets as Topic Age Distribution Models, Theoretical Data Anonymization Privacy Humans Neural Networks, Computer Computer Simulation
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Deep representation learning for domain adaptable classification of infrared spectral imaging data.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...
Neural Networks, Computer Spectrophotometry, Infrared Pathology Computational Biology Deep Learning Models, Theoretical Imaging, Three-Dimensional Microscopy
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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.

Chaos (Woodbury, N.Y.) Dec 1, 2019
We suggest a new method for building data-driven dynamical models from observed multidimensional time series. The method is based on a recurrent neural network with specific structure, which allows for the joint reconstruction of both a low-dimension...
Algorithms Computer Simulation Neural Networks, Computer Models, Theoretical Data Analysis Probability Stochastic Processes Atmosphere Bayes Theorem Signal Processing, Computer-Assisted
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Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models.

Chaos (Woodbury, N.Y.) Dec 1, 2019
Network physiology describes the human body as a complex network of interacting organ systems. It has been applied successfully to determine topological changes in different sleep stages. However, the number of network links can quickly grow above th...
Sleep Initiation and Maintenance Disorders Age Distribution Time Factors Machine Learning Models, Theoretical Humans Female Decision Trees Neural Networks, Computer Young Adult Adult Male Middle Aged
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Prognostic models will be victims of their own success, unless….

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
Predictive analytics have begun to change the workflows of healthcare by giving insight into our future health. Deploying prognostic models into clinical workflows should change behavior and motivate interventions that affect outcomes. As users respo...
Prognosis Learning Health System Models, Theoretical Humans Machine Learning Forecasting
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Predictive analytics in health care: how can we know it works?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
There is increasing awareness that the methodology and findings of research should be transparent. This includes studies using artificial intelligence to develop predictive algorithms that make individualized diagnostic or prognostic risk predictions...
Humans Machine Learning Models, Theoretical Ownership Forecasting Software Prognosis Algorithms Mobile Applications
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