AIMC Topic: Humans
Showing 64871 to 64880 of 95995 articles
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.
IEEE journal of biomedical and health informatics
Apr 26, 2019
Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This p...
Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.
International journal of computer assisted radiology and surgery
Apr 26, 2019
PURPOSE: Pulmonary nodule detection has great significance for early treating lung cancer and increasing patient survival. This work presents a novel automated computer-aided detection scheme for pulmonary nodules based on deep convolutional neural n...
Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.
European radiology
Apr 26, 2019
PURPOSE: To investigate the treatment response prediction feasibility and accuracy of an integrated model combining computed tomography (CT) radiomic features and dosimetric parameters for patients with esophageal cancer (EC) who underwent concurrent...
A novel deep learning method for automatic assessment of human sperm images.
Computers in biology and medicine
Apr 26, 2019
Sperm morphology analysis (SMA) is a very important factor in the diagnosis process of male infertility. This research proposes a novel deep learning algorithm for malformation detection of sperm morphology using human sperm cell images. Our proposed...
Spectral and Temporal Feature Learning With Two-Stream Neural Networks for Mental Workload Assessment.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 26, 2019
People's mental workload profoundly affects their work efficiency and health. Mental workload assessment can be used to effectively avoid serious accidents caused by excessive mental workload. Both electroencephalogram (EEG) spectral features and its...
Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor.
Journal of medical systems
Apr 26, 2019
With the development of medical technology in China, new difficulties are gradually emerging in traditional medicine. Cervical cancer MRI image segmentation technology based on wireless network is one of the most famous means. But the traditional tec...
An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.
Journal of medical systems
Apr 26, 2019
Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public health problem. The best metho...
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.
Journal of medical Internet research
Apr 26, 2019
BACKGROUND: Investigations into person-specific predictors of stress have typically taken either a population-level nomothetic approach or an individualized ideographic approach. Nomothetic approaches can quickly identify predictors but can be hinder...
Drug repurposing in oncology: Compounds, pathways, phenotypes and computational approaches for colorectal cancer.
Biochimica et biophysica acta. Reviews on cancer
Apr 26, 2019
The strategy of using existing drugs originally developed for one disease to treat other indications has found success across medical fields. Such drug repurposing promises faster access of drugs to patients while reducing costs in the long and diffi...
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