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HOX cluster and their cofactors showed an altered expression pattern in eutopic and ectopic endometriosis tissues.
Reproductive biology and endocrinology : RB&E
Sep 1, 2021
Endometriosis is major gynecological disease that affects over 10% of women worldwide and 30%-50% of these women have pelvic pain, abnormal uterine bleeding and infertility. The cause of endometriosis is unknown and there is no definite cure mainly b...
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface.
IEEE transactions on neural networks and learning systems
Aug 31, 2021
The performance of a classifier in a brain-computer interface (BCI) system is highly dependent on the quality and quantity of training data. Typically, the training data are collected in a laboratory where the users perform tasks in a controlled envi...
Machine learning models of ischemia/hemorrhage in moyamoya disease and analysis of its risk factors.
Clinical neurology and neurosurgery
Aug 30, 2021
OBJECT: This study aimed to determine the risk factors of ischemic/hemorrhagic stroke in patients suffering moyamoya disease (MMD), as well as to compare the effects of six analysis methods.
Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.
Journal of neuroengineering and rehabilitation
Aug 30, 2021
BACKGROUND: Human beings can enhance their distance running performance with the help of assistive devices. Although several such devices are available, they are heavy and bulky, which limits their use in everyday activities. In this study, we develo...
A Deep Learning-Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome.
The Canadian journal of cardiology
Aug 28, 2021
BACKGROUND: Brugada syndrome is a major cause of sudden cardiac death in young people and has distinctive electrocardiographic (ECG) features. We aimed to develop a deep learning-enabled ECG model for automatic screening for Brugada syndrome to ident...
Predicting postoperative pain following root canal treatment by using artificial neural network evaluation.
Scientific reports
Aug 26, 2021
This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The BP neural network model was developed using MATLAB 7.0 neural network toolb...
A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors.
European radiology
Aug 25, 2021
OBJECTIVES: To build and validate deep learning and machine learning fusion models to classify benign, malignant, and intermediate bone tumors based on patient clinical characteristics and conventional radiographs of the lesion.
Deep neural network-estimated electrocardiographic age as a mortality predictor.
Nature communications
Aug 25, 2021
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can be a measure of cardiovascular health. A d...
Ambient air pollution and cardiovascular disease rate an ANN modeling: Yazd-Central of Iran.
Scientific reports
Aug 20, 2021
This study was aimed to investigate the air pollutants impact on heart patient's hospital admission rates in Yazd for the first time. Modeling was done by time series, multivariate linear regression, and artificial neural network (ANN). During 5 year...
Machine learning approach to measurement of criticism: The core dimension of expressed emotion.
Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43)
Aug 19, 2021
Expressed emotion (EE), a measure of the family's emotional climate, is a fundamental measure in caregiving research. A core dimension of EE is the level of criticism expressed by the caregiver to the care recipient, with a high level of criticism a ...
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