AIMC Topic: Humans

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Long short-term memory - Fully connected (LSTM-FC) neural network for PM concentration prediction.

Chemosphere Dec 21, 2018
People have been suffering from air pollution for a decade in China, especially from PM (particulate matter with a diameter of less than 2.5 μm). Accurate prediction of air quality has great practical significance. In this paper, we propose a data-dr...
Models, Theoretical Humans Environmental Monitoring Neural Networks, Computer Air Pollutants China Particulate Matter Datasets as Topic
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Survival outcome prediction in cervical cancer: Cox models vs deep-learning model.

American journal of obstetrics and gynecology Dec 21, 2018
BACKGROUND: Historically, the Cox proportional hazard regression model has been the mainstay for survival analyses in oncologic research. The Cox proportional hazard regression model generally is used based on an assumption of linear association. How...
Adenocarcinoma Neoplasm Staging Progression-Free Survival Survival Analysis Proportional Hazards Models Risk Assessment Comorbidity Deep Learning Pilot Projects Humans Adult Retrospective Studies Uterine Cervical Neoplasms Female Middle Aged Carcinoma, Squamous Cell
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Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware.

Journal of neural engineering Dec 21, 2018
OBJECTIVE: The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and...
Neural Networks, Computer Machine Learning Algorithms Female Humans Electroencephalography Prostheses and Implants Hand Electromyography Young Adult Male Models, Neurological Hand Strength Prosthesis Design
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Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.

Journal of magnetic resonance imaging : JMRI Dec 21, 2018
Deep learning is a branch of artificial intelligence where networks of simple interconnected units are used to extract patterns from data in order to solve complex problems. Deep-learning algorithms have shown groundbreaking performance in a variety ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Radiography Radiology Artificial Intelligence Humans Machine Learning Neural Networks, Computer Diagnostic Tests, Routine Algorithms Deep Learning
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Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.

Addiction (Abingdon, England) Dec 21, 2018
BACKGROUND AND AIMS: The experience of alcohol use among adolescents is complex, with international differences in age of purchase and individual differences in consumption and consequences. This latter underlines the importance of prediction modelin...
Male Adolescent Cohort Studies Child Humans Algorithms Regression Analysis Neural Networks, Computer Forecasting Cross-Cultural Comparison Machine Learning Female Underage Drinking Canada Risk-Taking Logistic Models Support Vector Machine Australia
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HIV is associated with endothelial activation despite ART, in a sub-Saharan African setting.

Neurology(R) neuroimmunology & neuroinflammation Dec 21, 2018
OBJECTIVE: To study the relationship between endothelial dysfunction, HIV infection, and stroke in Malawians.
Middle Aged Aged Anti-Retroviral Agents Humans HIV Infections Adult Stroke Biomarkers Cross-Sectional Studies Malawi Female Male Endothelial Cells
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An extensive experimental survey of regression methods.

Neural networks : the official journal of the International Neural Network Society Dec 21, 2018
Regression is a very relevant problem in machine learning, with many different available approaches. The current work presents a comparison of a large collection composed by 77 popular regression models which belong to 19 families: linear and general...
Bayes Theorem Neural Networks, Computer Humans Linear Models Machine Learning Surveys and Questionnaires
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Glucose-holmium for radiotherapy: Characterization and in vitro assays.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Dec 21, 2018
BACKGROUND: The existence of saccharide-holmium complexes, containing mono or polysaccharide molecules, is an attractive hypothesis toward a radiation therapy (RT) with beta-emitters targeting high glucose metabolic human sites. To exam such hypothes...
Humans Female Breast Neoplasms Spectrometry, Mass, Electrospray Ionization Holmium Cell Line, Tumor Neutron Activation Analysis Glucose Radioisotopes Radiopharmaceuticals
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Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.

The Lancet. Oncology Dec 21, 2018
BACKGROUND: The incidence of thyroid cancer is rising steadily because of overdiagnosis and overtreatment conferred by widespread use of sensitive imaging techniques for screening. This overall incidence growth is especially driven by increased diagn...
Humans Neural Networks, Computer Databases, Factual Retrospective Studies Female Adult Thyroid Neoplasms Ultrasonography ROC Curve Area Under Curve Risk Assessment Sensitivity and Specificity China Male Incidence Middle Aged Cohort Studies
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How will "democratization of artificial intelligence" change the future of radiologists?

Japanese journal of radiology Dec 21, 2018
The "democratization of AI" is progressing, and it is becoming an era when anyone can utilize AI. What kind of radiologists are new generation radiologists suitable for the AI era? The first is maintaining a broad perspective regarding healthcare in ...
Radiology Radiologists Humans Artificial Intelligence
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