AIMC Topic:
Databases, Factual

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Focal Onset Seizure Prediction Using Convolutional Networks.

IEEE transactions on bio-medical engineering Dec 25, 2017
OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to ...
Scalp Electroencephalography Seizures Wavelet Analysis Neural Networks, Computer Algorithms Databases, Factual Humans
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Metric learning with spectral graph convolutions on brain connectivity networks.

NeuroImage Dec 24, 2017
Graph representations are often used to model structured data at an individual or population level and have numerous applications in pattern recognition problems. In the field of neuroscience, where such representations are commonly used to model str...
Autism Spectrum Disorder Image Processing, Computer-Assisted Models, Theoretical Magnetic Resonance Imaging Humans Neural Networks, Computer Databases, Factual Datasets as Topic Connectome Nerve Net
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Information extraction from Italian medical reports: An ontology-driven approach.

International journal of medical informatics Dec 23, 2017
OBJECTIVE: In this work, we propose an ontology-driven approach to identify events and their attributes from episodes of care included in medical reports written in Italian. For this language, shared resources for clinical information extraction are ...
Humans Databases, Factual Documentation Information Storage and Retrieval Natural Language Processing Italy Medical Record Linkage Medical Records
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Bayesian averaging over Decision Tree models for trauma severity scoring.

Artificial intelligence in medicine Dec 21, 2017
Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the "gold" standard of screening a patient's conditions for predicting survival probability, based...
Humans Artificial Intelligence Decision Support Techniques Databases, Factual Injury Severity Score Monte Carlo Method Wounds and Injuries Risk Factors Decision Support Systems, Clinical Male Bayes Theorem Logistic Models Risk Assessment Markov Chains United States Prognosis Decision Trees Clinical Decision-Making Predictive Value of Tests Female
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Hadamard Kernel SVM with applications for breast cancer outcome predictions.

BMC systems biology Dec 21, 2017
BACKGROUND: Breast cancer is one of the leading causes of deaths for women. It is of great necessity to develop effective methods for breast cancer detection and diagnosis. Recent studies have focused on gene-based signatures for outcome predictions....
Computational Biology Databases, Factual Support Vector Machine Prognosis Breast Neoplasms ROC Curve Humans
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Comparison, alignment, and synchronization of cell line information between CLO and EFO.

BMC bioinformatics Dec 21, 2017
BACKGROUND: The Experimental Factor Ontology (EFO) is an application ontology driven by experimental variables including cell lines to organize and describe the diverse experimental variables and data resided in the EMBL-EBI resources. The Cell Line ...
Biological Ontologies Cell Physiological Phenomena Cell Line Data Mining Semantics Humans Gene Expression Profiling Computational Biology Algorithms Databases, Factual
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Cell ontology in an age of data-driven cell classification.

BMC bioinformatics Dec 21, 2017
BACKGROUND: Data-driven cell classification is becoming common and is now being implemented on a massive scale by projects such as the Human Cell Atlas. The scale of these efforts poses a challenge. How can the results be made searchable and accessib...
Databases, Factual Animals Mice Biological Ontologies Cells Computational Biology Models, Statistical Humans
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Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks.

IEEE transactions on cybernetics Dec 20, 2017
Segmenting human left ventricle (LV) in magnetic resonance imaging images and calculating its volume are important for diagnosing cardiac diseases. The latter task became the topic of the Second Annual Data Science Bowl organized by Kaggle. The datas...
Humans Magnetic Resonance Imaging Heart Ventricles Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms Databases, Factual
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A functional supervised learning approach to the study of blood pressure data.

Statistics in medicine Dec 20, 2017
In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance...
Humans Algorithms Databases, Factual Hypertension Supervised Machine Learning Hypotension Nonlinear Dynamics Biometry Blood Pressure Determination Models, Statistical Blood Pressure
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Seven-Month Prostate-Specific Antigen Is Prognostic in Metastatic Hormone-Sensitive Prostate Cancer Treated With Androgen Deprivation With or Without Docetaxel.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Dec 20, 2017
Purpose We evaluated the relationship between prostate-specific antigen (PSA) and overall survival in the context of a prospectively randomized clinical trial comparing androgen-deprivation therapy (ADT) plus docetaxel with ADT alone for initial meta...
Male Neoplasm Metastasis Middle Aged Aged Time Factors Prostate-Specific Antigen Kallikreins Neoplasms, Hormone-Dependent Aged, 80 and over Randomized Controlled Trials as Topic Androgen Antagonists Antineoplastic Combined Chemotherapy Protocols Adult Prostatic Neoplasms Docetaxel Humans Treatment Outcome Databases, Factual Retrospective Studies
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