AIMC Topic:
Software

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Inner and Outer Recursive Neural Networks for Chemoinformatics Applications.

Journal of chemical information and modeling Jan 26, 2018
Deep learning methods applied to problems in chemoinformatics often require the use of recursive neural networks to handle data with graphical structure and variable size. We present a useful classification of recursive neural network approaches into...
Bayes Theorem Databases, Chemical Small Molecule Libraries Software Algorithms Deep Learning
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InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk.

BMC genomics Jan 19, 2018
BACKGROUND: Since the establishment of the first biomedical ontology Gene Ontology (GO), the number of biomedical ontology has increased dramatically. Nowadays over 300 ontologies have been built including extensively used Disease Ontology (DO) and H...
Computational Biology Gene Expression Profiling Gene Regulatory Networks Models, Biological Humans Gene Ontology Genomics Yeasts Software Protein Interaction Domains and Motifs
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Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PloS one Jan 19, 2018
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant am...
Biological Ontologies Information Systems Systems Integration Models, Anatomic Paris Radiation Oncology Radiotherapy Planning, Computer-Assisted Information Storage and Retrieval Software Electronic Health Records Neoplasms Humans
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Developing Deep Learning Applications for Life Science and Pharma Industry.

Drug research Jan 16, 2018
Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also e...
Software Drug Industry Biological Science Disciplines Machine Learning
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The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.

Journal of biomedical semantics Jan 12, 2018
Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies developed, it has become critical to ensure ontology interoperability and the usage of interoperable ...
Software Semantics Biological Ontologies
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Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

The British journal of radiology Jan 10, 2018
OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience.
Adult Breast Neoplasms Middle Aged Female Aged Aged, 80 and over Humans Ultrasonography, Mammary Machine Learning Software Image Interpretation, Computer-Assisted Clinical Competence Observer Variation Algorithms Adolescent Retrospective Studies Switzerland
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CUILESS2016: a clinical corpus applying compositional normalization of text mentions.

Journal of biomedical semantics Jan 10, 2018
BACKGROUND: Traditionally text mention normalization corpora have normalized concepts to single ontology identifiers ("pre-coordinated concepts"). Less frequently, normalization corpora have used concepts with multiple identifiers ("post-coordinated ...
Software Natural Language Processing Systematized Nomenclature of Medicine
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HiMoP: A three-component architecture to create more human-acceptable social-assistive robots : Motivational architecture for assistive robots.

Cognitive processing Jan 6, 2018
Generation of autonomous behavior for robots is a general unsolved problem. Users perceive robots as repetitive tools that do not respond to dynamic situations. This research deals with the generation of natural behaviors in assistive service robots ...
Motivation Humans Software Robotics
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ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods.

IEEE/ACM transactions on computational biology and bioinformatics Jan 5, 2018
As one of the most challenging tasks in sequence analysis, protein remote homology detection has been extensively studied. Methods based on discriminative models and ranking approaches have achieved the state-of-the-art performance, and these two kin...
Computational Biology Support Vector Machine Databases, Protein Algorithms Sequence Analysis, Protein Humans Databases, Factual Sequence Homology, Amino Acid Neural Networks, Computer Reproducibility of Results Proteins Amino Acid Motifs Software
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Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.

Computational and mathematical methods in medicine Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Myocytes, Cardiac Observer Variation Clinical Trials as Topic Cell Membrane Risk Electrophysiology Software Ions Terfenadine Algorithms Sodium Regression Analysis Reproducibility of Results Anti-Arrhythmia Agents Programming Languages Heart Humans Calcium Potassium Artificial Intelligence Arrhythmias, Cardiac Electrocardiography Action Potentials Models, Statistical
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