AIMC Topic:
Models, Theoretical

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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 Corneal Endothelial Cell Loss Fuchs' Endothelial Dystrophy Visual Acuity Area Under Curve Tomography, Optical Coherence Reoperation Descemet Membrane Descemet Stripping Endothelial Keratoplasty Female Aged Male Deep Learning ROC Curve Models, Theoretical
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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...
Models, Psychological Home Care Services Social Behavior Self-Help Devices Communication Devices for People with Disabilities Child Behavior Feasibility Studies Supervised Machine Learning Cues Child Models, Theoretical Robotics Humans Algorithms Autism Spectrum Disorder Precision Medicine User-Computer Interface
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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...
Models, Theoretical Machine Learning Humans Disease Algorithms Prognosis
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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 ...
Time Factors Image Processing, Computer-Assisted Models, Theoretical Humans Computer Simulation Deep Learning Tomography, Optical Breast Light Scattering, Radiation
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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...
Models, Theoretical Humans Machine Learning Psychiatry
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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...
Drugs, Chinese Herbal Chromatography, High Pressure Liquid Ligusticum Algorithms Models, Theoretical Neural Networks, Computer 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...
Models, Theoretical Data Anonymization Privacy Datasets as Topic Age Distribution Adult Male Child Computer Simulation Humans Electronic Health Records Neural Networks, Computer Female
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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 Pathology Models, Theoretical Microscopy Spectrophotometry, Infrared Deep Learning Imaging, Three-Dimensional Computational Biology
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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...
Bayes Theorem Signal Processing, Computer-Assisted Algorithms Probability Neural Networks, Computer Stochastic Processes Computer Simulation Data Analysis Atmosphere Models, Theoretical
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