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Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

Computer methods and programs in biomedicine
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.

IEEE transactions on medical imaging
Recent studies show that pulmonary vascular diseases may specifically affect arteries or veins through different physiologic mechanisms. To detect changes in the two vascular trees, physicians manually analyze the chest computed tomography (CT) image...

High-resolution Self-Organizing Maps for advanced visualization and dimension reduction.

Neural networks : the official journal of the International Neural Network Society
Kohonen's Self Organizing feature Map (SOM) provides an effective way to project high dimensional input features onto a low dimensional display space while preserving the topological relationships among the input features. Recent advances in algorith...

Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.

NeuroImage
Contemporary cognitive neuroscience recognises unconstrained processing varies across individuals, describing variation in meaningful attributes, such as intelligence. It may also have links to patterns of on-going experience. This study examined whe...

A fresh look at functional link neural network for motor imagery-based brain-computer interface.

Journal of neuroscience methods
BACKGROUND: Artificial neural networks (ANNs) are one of the widely used classifiers in the brain-computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly app...

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.

Computers in biology and medicine
Prenatal screening generates a great amount of data that is used for predicting risk of various disorders. Prenatal risk assessment is based on multiple clinical variables and overall performance is defined by how well the risk algorithm is optimized...
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Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management.

Journal of medical systems
The increasing demand for Android mobile devices and blockchain has motivated malware creators to develop mobile malware to compromise the blockchain. Although the blockchain is secure, attackers have managed to gain access into the blockchain as leg...

An Integrated Neural Framework for Dynamic and Static Face Processing.

Scientific reports
Faces convey rich information including identity, gender and expression. Current neural models of face processing suggest a dissociation between the processing of invariant facial aspects such as identity and gender, that engage the fusiform face are...

Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation.

Physics in medicine and biology
Segmentation of liver in abdominal computed tomography (CT) is an important step for radiation therapy planning of hepatocellular carcinoma. Practically, a fully automatic segmentation of liver remains challenging because of low soft tissue contrast ...

An improved advertising CTR prediction approach based on the fuzzy deep neural network.

PloS one
Combining a deep neural network with fuzzy theory, this paper proposes an advertising click-through rate (CTR) prediction approach based on a fuzzy deep neural network (FDNN). In this approach, fuzzy Gaussian-Bernoulli restricted Boltzmann machine (F...