AIMC Topic:
Models, Theoretical

Clear Filters Showing 1691 to 1700 of 1811 articles

Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery Feb 1, 2018
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Suicide United States Models, Theoretical Mental Disorders Databases, Factual Wounds, Penetrating Patient Readmission Self-Injurious Behavior Recurrence Humans Machine Learning Forecasting
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A big data approach with artificial neural network and molecular similarity for chemical data mining and endocrine disruption prediction.

Indian journal of pharmacology Jan 1, 2018
CONTEXT: Chemical toxicity prediction at early stage drug discovery phase has been researched for years, and newest methods are always investigated. Research data comprising chemical physicochemical properties, toxicity, assay, and activity details c...
Inhibitory Concentration 50 Receptors, Androgen Endocrine Disruptors Models, Theoretical Data Mining Humans Animals Neural Networks, Computer Drug Discovery Machine Learning Big Data Receptors, Estrogen
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Fine-Tuning Deep Learning by Crowd Participation.

IEEE pulse Jan 1, 2018
One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated data. Collecting such ground-truth annotations requires domain knowledge, cost, and time, maki...
Image Processing, Computer-Assisted Models, Theoretical Crowdsourcing Humans Machine Learning
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Extracting chemical-protein relations with ensembles of SVM and deep learning models.

Database : the journal of biological databases and curation Jan 1, 2018
Mining relations between chemicals and proteins from the biomedical literature is an increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the development and evaluation of systems that can automatically detect the chemica...
Models, Theoretical Support Vector Machine Neural Networks, Computer Databases, Protein Proteins Machine Learning Databases, Chemical Reproducibility of Results Data Curation
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Towards Universal Haptic Library: Library-Based Haptic Texture Assignment Using Image Texture and Perceptual Space.

IEEE transactions on haptics Jan 1, 2018
In this paper, we focused on building a universal haptic texture models library and automatic assignment of haptic texture models to any given surface from the library based on image features. It is shown that a relationship exists between perceived ...
Humans Models, Theoretical Visual Perception Touch Perception Psychophysics Support Vector Machine Databases as Topic
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Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

Studies in health technology and informatics Jan 1, 2018
The study demonstrated an application of machine learning techniques in building a depression prediction model. We used the NSHAP II data (3,377 subjects and 261 variables) and built the models using a logistic regression with and without L1 regulari...
Depression Logistic Models Models, Theoretical Forecasting Aged Humans Machine Learning Algorithms
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Robotic Implementation of the Necessary Mechanism for the Human Characteristics Simulation: Approach from Self-Care Conceptual Modeling.

Studies in health technology and informatics Jan 1, 2018
The vertiginous development of robotics, as part of the Artificial Intelligence, is currently raising its potential from the point of view of care. The purpose of the present article is the robotic implementation of a logical sequence model of the ph...
Humans Artificial Intelligence Self Care Models, Theoretical Robotics Human Characteristics
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Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval.

Database : the journal of biological databases and curation Jan 1, 2018
The bioCADDIE dataset retrieval challenge brought together different approaches to retrieval of biomedical datasets relevant to a user’s query, expressed as a text description of a needed dataset. We describe experiments in applying a data-driven, ma...
Probability Data Curation Machine Learning Algorithms Databases, Factual Models, Theoretical Data Mining
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Postoperative neonatal mortality prediction using superlearning.

The Journal of surgical research Jan 1, 2018
BACKGROUND: The variable risks associated with neonatal surgery present a challenge to accurate mortality prediction. We aimed to apply superlearning, an ensemble machine learning method, to the prediction of 30-day neonatal postoperative mortality.
Infant Mortality Surgical Procedures, Operative Infant, Premature Infant United States Models, Theoretical Infant, Newborn Male Humans Machine Learning Algorithms Female
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Multiscale simulation of thrombus growth and vessel occlusion triggered by collagen/tissue factor using a data-driven model of combinatorial platelet signalling.

Mathematical medicine and biology : a journal of the IMA Dec 11, 2017
During clotting under flow, platelets bind and activate on collagen and release autocrinic factors such as ADP and thromboxane, while tissue factor (TF) on the damaged wall leads to localized thrombin generation. Towards patient-specific simulation o...
Collagen Signal Transduction Thrombin Humans Blood Platelets Models, Theoretical Thromboplastin Neural Networks, Computer Thrombosis
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