AIMC Topic: Humans

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Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.

Journal of safety research May 10, 2019
INTRODUCTION: In this paper, we present machine learning techniques to analyze pedestrian and bicycle crash by developing macro-level crash prediction models.
Pedestrians Accidents, Traffic Motor Vehicles Safety Automobile Driving Socioeconomic Factors Humans Machine Learning Bicycling Environment Design Transportation Models, Statistical
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Sex estimation using sternum part lenghts by means of artificial neural networks.

Forensic science international May 10, 2019
In addition to the pelvis, cranium and phalanges, the sternum is also used for postmortem sex identification. Bone measurements may be obtained on cadaveric bones. Alternatively, computerized tomography may be used to obtain measurements close to the...
Tomography, X-Ray Computed Female Adult Male Middle Aged Sex Determination by Skeleton Humans Neural Networks, Computer Sternum Forensic Anthropology
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Differential convolutional neural network.

Neural networks : the official journal of the International Neural Network Society May 10, 2019
Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing similar artificial neural networ...
Neural Networks, Computer Deep Learning Humans Pattern Recognition, Automated
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A new approach for arrhythmia classification using deep coded features and LSTM networks.

Computer methods and programs in biomedicine May 10, 2019
BACKGROUND AND OBJECTIVE: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor hav...
Software Data Compression Principal Component Analysis Algorithms Arrhythmias, Cardiac Humans Signal Processing, Computer-Assisted Databases, Factual Reproducibility of Results Pattern Recognition, Automated Neural Networks, Computer Electrocardiography, Ambulatory Data Management Electrocardiography
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Automated segmentation of macular edema in OCT using deep neural networks.

Medical image analysis May 10, 2019
Macular edema is an eye disease that can affect visual acuity. Typical disease symptoms include subretinal fluid (SRF) and pigment epithelium detachment (PED). Optical coherence tomography (OCT) has been widely used for diagnosing macular edema becau...
Humans Neural Networks, Computer Tomography, Optical Coherence Algorithms Macular Edema Image Interpretation, Computer-Assisted
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Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning.

Cancer medicine May 10, 2019
To develop a deep learning system based on 3D convolutional neural networks (CNNs), and to automatically predict EGFR-mutant pulmonary adenocarcinoma in CT images. A dataset of 579 nodules with EGFR mutation status labels of mutant (Mut) or wild-type...
Deep Learning ROC Curve Image Processing, Computer-Assisted Humans Female Neural Networks, Computer Reproducibility of Results ErbB Receptors Computational Biology Algorithms Male Data Curation Tomography, X-Ray Computed Neoplasm Staging Adenocarcinoma of Lung Mutation
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Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy.

Photodiagnosis and photodynamic therapy May 10, 2019
With deep convolutional neural networks and fiber optic Raman spectroscopy, this study presents a novel classification method that discriminates tongue squamous cell carcinoma (TSCC) from non-tumorous tissue. To achieve this purpose, 24 tissues spect...
Humans In Vitro Techniques Spectrum Analysis, Raman Tongue Neoplasms Neural Networks, Computer Carcinoma, Squamous Cell Sensitivity and Specificity
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An Empirical Study on the Artificial Intelligence Writing Evaluation System in China CET.

Big data May 10, 2019
The Artificial Intelligence Writing Evaluation system is widely used in China College English writing. It provides for both teachers and the English learners services of automated composition evaluation on the net in order that teacher's working load...
Empirical Research Faculty Students China Universities Humans Artificial Intelligence Writing
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Psychosocial Health Interventions by Social Robots: Systematic Review of Randomized Controlled Trials.

Journal of medical Internet research May 10, 2019
BACKGROUND: Social robots that can communicate and interact with people offer exciting opportunities for improved health care access and outcomes. However, evidence from randomized controlled trials (RCTs) on health or well-being outcomes has not yet...
Child Randomized Controlled Trials as Topic Robotics Psychology Aged Young Adult Adolescent Humans Autism Spectrum Disorder
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Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans.

Sensors (Basel, Switzerland) May 10, 2019
Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatment to improve patient outcome. Machine learning algorithms can be used to perform medical image classification and assist clinicians in diagnosing radi...
Imaging, Three-Dimensional Magnetic Resonance Imaging Machine Learning Algorithms Brain Humans Neural Networks, Computer
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