AIMC Topic:
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Deep supervised learning with mixture of neural networks.
Artificial intelligence in medicine
Nov 18, 2019
Deep Neural Network (DNN), as a deep architectures, has shown excellent performance in classification tasks. However, when the data has different distributions or contains some latent non-observed factors, it is difficult for DNN to train a single mo...
The impact of patient clinical information on automated skin cancer detection.
Computers in biology and medicine
Nov 18, 2019
Skin cancer is one of the most common types of cancer worldwide. Over the past few years, different approaches have been proposed to deal with automated skin cancer detection. Nonetheless, most of them are based only on dermoscopic images and do not ...
TAP: A static analysis model for PHP vulnerabilities based on token and deep learning technology.
PloS one
Nov 18, 2019
With the widespread usage of Web applications, the security issues of source code are increasing. The exposed vulnerabilities seriously endanger the interests of service providers and customers. There are some models for solving this problem. However...
CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network.
Scientific reports
Nov 15, 2019
With recent advances in DNA sequencing technologies, fast acquisition of large-scale genomic data has become commonplace. For cancer studies, in particular, there is an increasing need for the classification of cancer type based on somatic alteration...
An incremental learning system for atrial fibrillation detection based on transfer learning and active learning.
Computer methods and programs in biomedicine
Nov 14, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a type of arrhythmia with high incidence. Automatic AF detection methods have been studied in previous works. However, a model cannot be used all the time without any improvement. And updating mod...
Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE.
Australasian physical & engineering sciences in medicine
Nov 14, 2019
Timely prediction of cardiovascular diseases with the help of a computer-aided diagnosis system minimizes the mortality rate of cardiac disease patients. Cardiac arrhythmia detection is one of the most challenging tasks, because the variations of ele...
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks.
IEEE transactions on neural networks and learning systems
Nov 13, 2019
For a brain-computer interface (BCI) system, a calibration procedure is required for each individual user before he/she can use the BCI. This procedure requires approximately 20-30 min to collect enough data to build a reliable decoder. It is, theref...
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis.
Artificial intelligence in medicine
Nov 13, 2019
In this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate the implementation possibility of a simpler method (Multi-Layer Per...
Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos.
Scientific reports
Nov 12, 2019
The present study aimed to conduct a real-time automatic analysis of two important surgical phases, which are continuous curvilinear capsulorrhexis (CCC), nuclear extraction, and three other surgical phases of cataract surgery using artificial intell...
Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.
COPD
Nov 11, 2019
While machine learning approaches can enhance prediction ability, little is known about their ability to predict 30-day readmission after hospitalization for Chronic Obstructive Pulmonary Disease (COPD). We identified patients aged ≥40 years with unp...
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