AIMC Topic: Models, Theoretical

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PERSON-Personalized Expert Recommendation System for Optimized Nutrition.

IEEE transactions on biomedical circuits and systems Feb 1, 2018
The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. However, the recommendation system is far from mature to provide personalized food suggestion to consumers for daily usage. The main barrier of connec...
Precision Medicine Nutrition Assessment Decision Making, Computer-Assisted Models, Theoretical Humans Neural Networks, Computer
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A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).

IEEE transactions on biomedical circuits and systems Feb 1, 2018
Neuromorphic computing systems comprise networks of neurons that use asynchronous events for both computation and communication. This type of representation offers several advantages in terms of bandwidth and power consumption in neuromorphic electro...
Models, Theoretical Neural Networks, Computer
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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.
Recurrence Wounds, Penetrating Patient Readmission Self-Injurious Behavior Mental Disorders Databases, Factual United States Models, Theoretical Suicide Machine Learning Forecasting Humans
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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...
Receptors, Androgen Endocrine Disruptors Receptors, Estrogen Data Mining Humans Machine Learning Inhibitory Concentration 50 Neural Networks, Computer Big Data Drug Discovery Models, Theoretical Animals
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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 Humans Models, Theoretical Machine Learning Crowdsourcing
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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...
Reproducibility of Results Support Vector Machine Neural Networks, Computer Databases, Protein Databases, Chemical Data Curation Proteins Machine Learning Models, Theoretical
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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 ...
Support Vector Machine Databases as Topic Visual Perception Humans Models, Theoretical Touch Perception Psychophysics
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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...
Algorithms Forecasting Humans Machine Learning Logistic Models Models, Theoretical Aged Depression
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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...
Human Characteristics Models, Theoretical Robotics Artificial Intelligence Self Care Humans
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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...
Machine Learning Databases, Factual Models, Theoretical Algorithms Data Curation Data Mining Probability
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