AIMC Topic: Algorithms

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Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images.

Journal of healthcare engineering Aug 9, 2017
Lung cancer is the most common cancer that cannot be ignored and cause death with late health care. Currently, CT can be used to help doctors detect the lung cancer in the early stages. In many cases, the diagnosis of identifying the lung cancer depe...
Lung Neoplasms ROC Curve Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Radiography, Thoracic Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Software Reproducibility of Results Algorithms Humans Neural Networks, Computer
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A robotic system for researching social integration in honeybees.

PloS one Aug 9, 2017
In this paper, we present a novel robotic system developed for researching collective social mechanisms in a biohybrid society of robots and honeybees. The potential for distributed coordination, as observed in nature in many different animal species...
Cooperative Behavior Interpersonal Relations Behavior, Animal Animal Communication Robotics Equipment Design Algorithms Bees Animals
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Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms.

Journal of the science of food and agriculture Aug 8, 2017
BACKGROUND: Beer quality is mainly defined by its colour, foamability and foam stability, which are influenced by the chemical composition of the product such as proteins, carbohydrates, pH and alcohol. Traditional methods to assess specific chemical...
Machine Learning Algorithms Image Processing, Computer-Assisted Spectrophotometry, Infrared Beer Food Analysis
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Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation.

Computer methods and programs in biomedicine Aug 8, 2017
BACKGROUND AND OBJECTIVE: This paper proposes a deep learning based ensemble regression estimator with asymptotic techniques, and offers a method that can decrease uncertainty for oscillometric blood pressure (BP) measurements using the bootstrap and...
Humans Neural Networks, Computer Algorithms Blood Pressure Determination Machine Learning Oscillometry Blood Pressure Monte Carlo Method
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An Alzheimers disease related genes identification method based on multiple classifier integration.

Computer methods and programs in biomedicine Aug 8, 2017
BACKGROUND AND OBJECTIVE: Alzheimers disease (AD) is a fatal neurodegenerative disease and the onset of AD is insidious. Full understanding of the AD-related genes (ADGs) has not been completed. The National Center for Biotechnology Information (NCBI...
Support Vector Machine Alzheimer Disease Sensitivity and Specificity Computational Biology Humans Algorithms
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Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Aug 7, 2017
Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of...
Humans Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Databases, Factual Female Neural Networks, Computer Breast Neoplasms Algorithms
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Matrix and Tensor Completion on a Human Activity Recognition Framework.

IEEE journal of biomedical and health informatics Aug 7, 2017
Sensor-based activity recognition is encountered in innumerable applications of the arena of pervasive healthcare and plays a crucial role in biomedical research. Nonetheless, the frequent situation of unobserved measurements impairs the ability of m...
Pattern Recognition, Automated Human Activities Remote Sensing Technology Supervised Machine Learning Humans Algorithms
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Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation.

Journal of biomedical informatics Aug 7, 2017
Word sense disambiguation helps identifying the proper sense of ambiguous words in text. With large terminologies such as the UMLS Metathesaurus ambiguities appear and highly effective disambiguation methods are required. Supervised learning algorith...
Neural Networks, Computer MEDLINE Unified Medical Language System Algorithms Natural Language Processing
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Active learning reduces annotation time for clinical concept extraction.

International journal of medical informatics Aug 5, 2017
OBJECTIVE: To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating th...
Natural Language Processing Information Storage and Retrieval Problem-Based Learning Algorithms Electronic Health Records Humans Machine Learning
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Combination of mass spectrometry-based targeted lipidomics and supervised machine learning algorithms in detecting adulterated admixtures of white rice.

Food research international (Ottawa, Ont.) Aug 4, 2017
The mixing of extraneous ingredients with original products is a common adulteration practice in food and herbal medicines. In particular, authenticity of white rice and its corresponding blended products has become a key issue in food industry. Acco...
Food Contamination Mass Spectrometry Oryza Lipids Algorithms Supervised Machine Learning Computational Biology
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