AIMC Topic: Humans

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Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal.

Journal of Korean medical science Feb 15, 2019
BACKGROUND: In this study, we propose a method for automatically predicting atrial fibrillation (AF) based on convolutional neural network (CNN) using a short-term normal electrocardiogram (ECG) signal.
Electrocardiography Atrial Fibrillation Automation Humans Sensitivity and Specificity Neural Networks, Computer Deep Learning
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Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables.

Sensors (Basel, Switzerland) Feb 15, 2019
Mobile devices, wearables and Internet-of-Things are crammed into smaller form factors and batteries, yet they encounter demanding applications such as big data analysis, data mining, machine learning, augmented reality and virtual reality. To meet s...
Internet Data Mining Electric Power Supplies Humans Big Data Machine Learning Wearable Electronic Devices Mobile Applications
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Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data.

Journal of medical Internet research Feb 15, 2019
BACKGROUND: Prevention and management of chronic diseases are the main goals of national health maintenance programs. Previously widely used screening tools, such as Health Risk Appraisal, are restricted in their achievement this goal due to their li...
Humans Machine Learning Hypertension Algorithms Chronic Disease Cardiovascular Diseases Cerebrovascular Disorders
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Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks.

BMC bioinformatics Feb 15, 2019
BACKGROUND: Cell counting from cell cultures is required in multiple biological and biomedical research applications. Especially, accurate brightfield-based cell counting methods are needed for cell growth analysis. With deep learning, cells can be d...
Humans Male Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Tumor Cells, Cultured
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FunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experiments.

BMC bioinformatics Feb 15, 2019
BACKGROUND: Functional annotation of genes is an essential step in omics data analysis. Multiple databases and methods are currently available to summarize the functions of sets of genes into higher level representations, such as ontologies and molec...
Computational Biology Molecular Sequence Annotation Gene Ontology Computer Graphics Genes Databases, Factual Animals Mice Humans Software
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Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

Biomarkers in medicine Feb 15, 2019
AIM: Pancreatic cancer is one of the worst malignant tumors in prognosis. Therefore, to reduce the mortality rate of pancreatic cancer, early diagnosis and prompt treatment are particularly important.
Prognosis Survival Rate Biomarkers, Tumor Humans Algorithms Pancreatic Neoplasms Pancreas Proto-Oncogene Proteins c-fos Gene Expression Profiling Case-Control Studies Support Vector Machine Matrix Metalloproteinase 7 alpha-Macroglobulins
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Support vector machine with quantile hyper-spheres for pattern classification.

PloS one Feb 15, 2019
This paper formulates a support vector machine with quantile hyper-spheres (QHSVM) for pattern classification. The idea of QHSVM is to build two quantile hyper-spheres with the same center for positive or negative training samples. Every quantile hyp...
Heart Thyroid Gland Pattern Recognition, Automated Humans Breast Support Vector Machine Female Cluster Analysis
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End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning.

IEEE transactions on pattern analysis and machine intelligence Feb 14, 2019
We study active object tracking, where a tracker takes visual observations (i.e., frame sequences) as input and produces the corresponding camera control signals as output (e.g., move forward, turn left, etc.). Conventional methods tackle tracking an...
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Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Video Recording Machine Learning Algorithms Databases, Factual
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Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.

Science and engineering ethics Feb 14, 2019
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI t...
Drug Trafficking Social Media Sex Offenses Liability, Legal Interdisciplinary Research Commerce Crime Fraud Humans Artificial Intelligence Forecasting
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Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.

IEEE transactions on neural networks and learning systems Feb 14, 2019
Automatic diagnosing lung cancer from computed tomography scans involves two steps: detect all suspicious lesions (pulmonary nodules) and evaluate the whole-lung/pulmonary malignancy. Currently, there are many studies about the first step, but few ab...
Diagnosis, Computer-Assisted Imaging, Three-Dimensional Lung Neoplasms Humans Neural Networks, Computer Tomography, X-Ray Computed
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