AIMC Topic: Random Allocation

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Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.

JAMA network open Apr 1, 2021
IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant (allo-HCT), and timely detection is crucial. However, the atypical presentation of sepsis within this population makes detection challenging, and exi...
Retrospective Studies Female Adult Male Humans Machine Learning Decision Support Techniques ROC Curve Hematopoietic Stem Cell Transplantation Random Allocation Immunocompetence Middle Aged Risk Assessment Sepsis
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Bidirectional stochastic configuration network for regression problems.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2021
To adapt to the reality of limited computing resources of various terminal devices in industrial applications, a randomized neural network called stochastic configuration network (SCN), which can conduct effective training without GPU, was proposed. ...
Random Allocation Stochastic Processes Regression Analysis Supervised Machine Learning
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Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension.

Clinical journal of the American Society of Nephrology : CJASN Feb 11, 2021
BACKGROUND AND OBJECTIVES: Intradialytic hypotension has high clinical significance. However, predicting it using conventional statistical models may be difficult because several factors have interactive and complex effects on the risk. Herein, we ap...
Humans Forecasting Retrospective Studies Female Models, Theoretical Hypotension Random Allocation Deep Learning Renal Dialysis Computer Systems Aged Male Middle Aged
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Open Versus Robot-assisted Radical Cystectomy: Is Standardization Without Randomization Possible?

European urology Jan 20, 2021
Random Allocation Reference Standards Humans Robotic Surgical Procedures Cystectomy Urinary Bladder Neoplasms Robotics
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Domain randomization-enhanced deep learning models for bird detection.

Scientific reports Jan 12, 2021
Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the d...
Birds Deep Learning Weather Animals Random Allocation Environment Animal Migration
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Relationship between Machine-Learning Image Classification of T-Weighted Intramedullary Hypointensity on 3 Tesla Magnetic Resonance Imaging and Clinical Outcome in Dogs with Severe Spinal Cord Injury.

Journal of neurotrauma Dec 4, 2020
Early prognostic information in cases of severe spinal cord injury can aid treatment planning and stratification for clinical trials. Analysis of intraparenchymal signal change on magnetic resonance imaging has been suggested to inform outcome predic...
Spinal Cord Injuries Trauma Severity Indices Magnetic Resonance Imaging Dogs Random Allocation Animals Retrospective Studies Male Female Treatment Outcome Machine Learning Prospective Studies
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Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

AJR. American journal of roentgenology Aug 5, 2020
The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial intelligence (AI) detection system with attention mapping compared with multiparametric MRI (mpMRI) interpretation in the detection of prostate cance...
Humans Retrospective Studies Aged Artificial Intelligence Algorithms Observer Variation Random Allocation Diagnosis, Computer-Assisted Sensitivity and Specificity Multiparametric Magnetic Resonance Imaging Adenocarcinoma Male Prostatic Neoplasms Middle Aged
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Generative adversarial networks with decoder-encoder output noises.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2020
In recent years, research on image generation has been developing very fast. The generative adversarial network (GAN) emerges as a promising framework, which uses adversarial training to improve the generative ability of its generator. However, since...
Pattern Recognition, Automated Random Allocation Neural Networks, Computer Image Processing, Computer-Assisted Bayes Theorem Humans
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Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks.

Radiology Feb 25, 2020
Background Radiofrequency ultrasound data from the liver contain rich information about liver microstructure and composition. Deep learning might exploit such information to assess nonalcoholic fatty liver disease (NAFLD). Purpose To develop and eval...
Prospective Studies Random Allocation Female Image Processing, Computer-Assisted Humans Radio Waves Male Sensitivity and Specificity Neural Networks, Computer Magnetic Resonance Imaging Predictive Value of Tests Middle Aged Non-alcoholic Fatty Liver Disease Ultrasonography
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Machine learning validation of EEG+tACS artefact removal.

Journal of neural engineering Jan 24, 2020
OBJECTIVE: Electroencephalography (EEG) recorded during transcranial alternating current simulation (tACS) is highly desirable in order to investigate brain dynamics during stimulation, but is corrupted by large amplitude stimulation artefacts. Artef...
Male Transcranial Direct Current Stimulation Reproducibility of Results Electroencephalography Humans Psychomotor Performance Memory, Short-Term Young Adult Machine Learning Adult Artifacts Female Random Allocation Photic Stimulation
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