AIMC Topic: Neural Networks, Computer

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On the Fuzziness of Machine Learning, Neural Networks, and Artificial Intelligence in Radiation Oncology.

International journal of radiation oncology, biology, physics Jan 1, 2018
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Radiation Oncology Humans
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Machine learning and deep analytics for biocomputing: call for better explainability.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
The goals of this workshop are to discuss challenges in explainability of current Machine Leaning and Deep Analytics (MLDA) used in biocomputing and to start the discussion on ways to improve it. We define explainability in MLDA as easy to use inform...
Humans Neural Networks, Computer Cluster Analysis Decision Support Techniques Gene Expression Profiling Single-Cell Analysis Artificial Intelligence Computational Biology Machine Learning Algorithms
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Deep Integrative Analysis for Survival Prediction.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
Survival prediction is very important in medical treatment. However, recent leading research is challenged by two factors: 1) the datasets usually come with multi-modality; and 2) sample sizes are relatively small. To solve the above challenges, we d...
Proportional Hazards Models Models, Statistical Glioblastoma Survival Analysis Lung Neoplasms Computational Biology Databases, Genetic Carcinoma, Squamous Cell Machine Learning Brain Neoplasms Databases, Factual Humans Neural Networks, Computer
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MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
Glioblastoma Multiforme (GBM), a malignant brain tumor, is among the most lethal of all cancers. Temozolomide is the primary chemotherapy treatment for patients diagnosed with GBM. The methylation status of the promoter or the enhancer regions of the...
DNA Modification Methylases DNA Repair Enzymes Drug Resistance, Neoplasm DNA Methylation Glioblastoma Dacarbazine Regulatory Sequences, Nucleic Acid Tumor Suppressor Proteins Temozolomide Antineoplastic Agents, Alkylating Humans Neural Networks, Computer Databases, Genetic Magnetic Resonance Imaging Brain Neoplasms Computational Biology
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A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Journal of X-ray science and technology Jan 1, 2018
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on ...
Humans Neural Networks, Computer Machine Learning Algorithms Lung Neoplasms Lung Early Detection of Cancer Diagnosis, Computer-Assisted Risk
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Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2018
We propose Segment Convolutional Neural Networks (Seg-CNNs) for classifying relations from clinical notes. Seg-CNNs use only word-embedding features without manual feature engineering. Unlike typical CNN models, relations between 2 concepts are ident...
Humans Neural Networks, Computer Machine Learning Datasets as Topic Electronic Health Records Natural Language Processing
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SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings.

Neuroinformatics Jan 1, 2018
We implemented an automated and efficient open-source software for the analysis of multi-site neuronal spike signals. The software package, named SPICODYN, has been developed as a standalone windows GUI application, using C# programming language with...
Action Potentials Neurons Cerebral Cortex Microelectrodes Software Animals Rats Neural Networks, Computer
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Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2018
OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-cigarette adverse event studies have achieved low detection rates due to limited subject sample sizes in...
Data Mining Semantics Vaping Electronic Nicotine Delivery Systems Humans Neural Networks, Computer Social Media
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Unhidden Figures.

Cell systems Dec 27, 2017
Cloud Computing Software Genome Animals High-Throughput Nucleotide Sequencing Humans Internet Cost-Benefit Analysis Neural Networks, Computer Genetic Variation Information Dissemination
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The case for technology investments in the environment.

Nature Dec 21, 2017
Earth, Planet Global Warming Forestry Water Supply Environment Investments Technology Reproducibility of Results Fisheries Software Humans Spatio-Temporal Analysis Animals Biodiversity Organizations Neural Networks, Computer Conservation of Natural Resources Agriculture Algorithms Artificial Intelligence
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