AIMC Topic: Algorithms

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Gene2DisCo: Gene to disease using disease commonalities.

Artificial intelligence in medicine Sep 4, 2017
OBJECTIVE: Finding the human genes co-causing complex diseases, also known as "disease-genes", is one of the emerging and challenging tasks in biomedicine. This process, termed gene prioritization (GP), is characterized by a scarcity of known disease...
Toxicogenetics Gene Regulatory Networks Genetic Predisposition to Disease Humans Models, Genetic Machine Learning Area Under Curve Databases, Genetic Algorithms Genetic Markers ROC Curve Data Mining Linear Models
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Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 4, 2017
MGMT promoter methylation and IDH1 mutation in high-grade gliomas (HGG) have proven to be the two important molecular indicators associated with better prognosis. Traditionally, the statuses of MGMT and IDH1 are obtained via surgical biopsy, which is...
Isocitrate Dehydrogenase Female Middle Aged Adult Glioma DNA Modification Methylases Reproducibility of Results Humans Sensitivity and Specificity DNA Methylation Aged DNA Repair Enzymes Algorithms Brain Neoplasms Young Adult Mutation Tumor Suppressor Proteins Prognosis Male Connectome
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Deformable Image Registration based on Similarity-Steered CNN Regression.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 4, 2017
Existing deformable registration methods require exhaustively iterative optimization, along with careful parameter tuning, to estimate the deformation field between images. Although some learning-based methods have been proposed for initiating deform...
Sensitivity and Specificity Neuroimaging Algorithms Humans Brain Reproducibility of Results Neural Networks, Computer Young Adult Machine Learning
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3-D Object Recognition of a Robotic Navigation Aid for the Visually Impaired.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 1, 2017
This paper presents a 3-D object recognition method and its implementation on a robotic navigation aid to allow real-time detection of indoor structural objects for the navigation of a blind person. The method segments a point cloud into numerous pla...
Pattern Recognition, Automated Normal Distribution Self-Help Devices Canes Cluster Analysis Models, Statistical Vision Disorders Robotics Humans Algorithms
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Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 1, 2017
Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the class...
Epilepsy Seizures Supervised Machine Learning Pattern Recognition, Automated Support Vector Machine Fuzzy Logic Models, Statistical Electroencephalography Transfer, Psychology Humans Software Algorithms Reproducibility of Results
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Identifying novel factor XIIa inhibitors with PCA-GA-SVM developed vHTS models.

European journal of medicinal chemistry Sep 1, 2017
There currently is renewed interest in blood clotting Factor XII as a potential target for thrombosis inhibition. Historically untargeted, there is little drug information with which to start drug candidate searches. Typical high-throughput screening...
Humans Algorithms Support Vector Machine Dose-Response Relationship, Drug Blood Proteins Structure-Activity Relationship Principal Component Analysis Models, Molecular Molecular Structure Factor XIIa
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Construction accident narrative classification: An evaluation of text mining techniques.

Accident; analysis and prevention Sep 1, 2017
Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss reporting are encouraged by organizations and regulators. However, for organizations managing large safety databases, the time taken to accurately classi...
Databases, Factual Reproducibility of Results Accidents, Occupational Support Vector Machine Humans Machine Learning Algorithms Data Mining Decision Trees Accidents Construction Industry Narration Linear Models Bayes Theorem Safety
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Optimal pitching axis location of flapping wings for efficient hovering flight.

Bioinspiration & biomimetics Sep 1, 2017
Flapping wings can pitch passively about their pitching axes due to their flexibility, inertia, and aerodynamic loads. A shift in the pitching axis location can dynamically alter the aerodynamic loads, which in turn changes the passive pitching motio...
Wings, Animal Biomimetics Insecta Aviation Flight, Animal Algorithms Computer Simulation Biomechanical Phenomena Animals Robotics Equipment Design Aircraft Models, Biological
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Scaling up liquid state machines to predict over address events from dynamic vision sensors.

Bioinspiration & biomimetics Sep 1, 2017
Short-term visual prediction is important both in biology and robotics. It allows us to anticipate upcoming states of the environment and therefore plan more efficiently. In theoretical neuroscience, liquid state machines have been proposed as a biol...
Humans Neural Networks, Computer Algorithms Vision, Ocular Biomimetic Materials Simulation Training Motion Perception Robotics Equipment Design Retina Biomimetics
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Breast cancer cell nuclei classification in histopathology images using deep neural networks.

International journal of computer assisted radiology and surgery Aug 31, 2017
PURPOSE: Cell nuclei classification in breast cancer histopathology images plays an important role in effective diagnose since breast cancer can often be characterized by its expression in cell nuclei. However, due to the small and variant sizes of c...
Humans Neural Networks, Computer Machine Learning Breast Neoplasms Software Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Female Cell Nucleus Reproducibility of Results
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