AIMC Topic:
Databases, Factual
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Disease comorbidity-guided drug repositioning: a case study in schizophrenia.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in machine-understandable format. While large amount of genetic, genomic and chemical data are publicly available, large-scale higher-level disease and d...
Setting Up a Surface-Enhanced Raman Scattering Database for Artificial-Intelligence-Based Label-Free Discrimination of Tumor Suppressor Genes.
Analytical chemistry
Dec 4, 2018
The quality of input data in deep learning is tightly associated with the ultimate performance of the machine learner. Taking advantage of the unique merits of surface-enhanced Raman scattering (SERS) methodology in the collection and construction of...
Face Recognition Using the SR-CNN Model.
Sensors (Basel, Switzerland)
Dec 3, 2018
In order to solve the problem of face recognition in complex environments being vulnerable to illumination change, object rotation, occlusion, and so on, which leads to the imprecision of target position, a face recognition algorithm with multi-featu...
Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets.
PLoS computational biology
Dec 3, 2018
Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the m...
Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks.
GigaScience
Dec 1, 2018
BACKGROUND: Deep learning is gaining importance in the prediction of cognitive states and brain pathology based on neuroimaging data. Including multiple hidden layers in artificial neural networks enables unprecedented predictive power; however, the ...
Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.
PLoS medicine
Nov 30, 2018
BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admi...
Male
Humans
Cardiopulmonary Resuscitation
Machine Learning
Middle Aged
Time Factors
Heart Arrest
Australia
Clinical Decision-Making
Risk Assessment
Registries
Female
Decision Support Techniques
Hospital Mortality
New Zealand
Risk Factors
Databases, Factual
Treatment Outcome
Retrospective Studies
Aged
Health Status
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
IEEE transactions on medical imaging
Nov 29, 2018
Positron emission tomography (PET) has been substantially used recently. To minimize the potential health risk caused by the tracer radiation inherent to PET scans, it is of great interest to synthesize the high-quality PET image from the low-dose on...
A density-based competitive data stream clustering network with self-adaptive distance metric.
Neural networks : the official journal of the International Neural Network Society
Nov 27, 2018
Data stream clustering is a branch of clustering where patterns are processed as an ordered sequence. In this paper, we propose an unsupervised learning neural network named Density Based Self Organizing Incremental Neural Network(DenSOINN) for data ...
The RSNA Pediatric Bone Age Machine Learning Challenge.
Radiology
Nov 27, 2018
Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze ...
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
PLoS medicine
Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Knee
Image Interpretation, Computer-Assisted
Retrospective Studies
Automation
Female
Tibial Meniscus Injuries
Adult
Reproducibility of Results
Deep Learning
Anterior Cruciate Ligament Injuries
Humans
Male
Young Adult
Magnetic Resonance Imaging
Databases, Factual
Middle Aged
Predictive Value of Tests
Diagnosis, Computer-Assisted
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