AIMC Topic:
Databases, Factual

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Advancing the large-scale CCS database for metabolomics and lipidomics at the machine-learning era.

Current opinion in chemical biology Nov 12, 2017
Metabolomics and lipidomics aim to comprehensively measure the dynamic changes of all metabolites and lipids that are present in biological systems. The use of ion mobility-mass spectrometry (IM-MS) for metabolomics and lipidomics has facilitated the...
Mass Spectrometry Metabolomics Lipids Molecular Weight Ion Mobility Spectrometry Machine Learning Databases, Factual
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Construction of mass spectra database and diagnosis algorithm for head and neck squamous cell carcinoma.

Oral oncology Nov 10, 2017
OBJECTIVES: Intraoperative identification of tumor margins is essential to achieving complete tumor resection. However, the process of intraoperative pathological diagnosis involves cumbersome procedures, such as preparation of cryosections and micro...
Machine Learning Algorithms Databases, Factual Humans Aged, 80 and over Male Middle Aged Case-Control Studies Carcinoma, Squamous Cell Reproducibility of Results Aged Spectrometry, Mass, Electrospray Ionization Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Intraoperative Period
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Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.

Journal of neuroscience methods Nov 2, 2017
BACKGROUND: Alzheimer's disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Scientific research is very active in the challenge of designing automated approaches to achieve an early and certain diagnosis. Re...
Aged Male Cognitive Dysfunction Humans Alzheimer Disease Databases, Factual ROC Curve Image Interpretation, Computer-Assisted Brain Early Diagnosis Support Vector Machine Female Pattern Recognition, Automated Magnetic Resonance Imaging
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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.

PloS one Nov 2, 2017
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by using computer-aided diagnosis from fundus image has emerged as a new method. We applied deep learning convolutional neural network by using MatConvNe...
Databases, Factual Learning Pilot Projects Humans Retina Diabetic Retinopathy Neural Networks, Computer
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Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.

Computers in biology and medicine Oct 31, 2017
The early diagnosis of disease is critical to preventing the occurrence of severe complications. Diabetes is a serious health problem. A variety of methods have been developed for diagnosing diabetes. The majority of these methods have been developed...
Diabetes Mellitus Fuzzy Logic Algorithms Databases, Factual Diagnosis, Computer-Assisted Humans Machine Learning
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SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media.

Artificial intelligence in medicine Oct 27, 2017
With the development of Web 2.0 technology, social media websites have become lucrative but under-explored data sources for extracting adverse drug events (ADEs), which is a serious health problem. Besides ADE, other semantic relation types (e.g., dr...
Humans Databases, Factual Social Media Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions Data Mining Adverse Drug Reaction Reporting Systems
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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

NeuroImage Oct 24, 2017
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound an...
United Kingdom Neuroimaging Databases, Factual Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Quality Control Datasets as Topic Humans Machine Learning
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Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication.

IEEE journal of biomedical and health informatics Oct 23, 2017
The estimation of long-term diabetes complications risk is essential in the process of medical decision making. Guidelines for the management of Type 2 Diabetes Mellitus (T2DM) advocate calculating the Cardiovascular Disease (CVD) risk to initiate ap...
Male Databases, Factual Humans Cardiovascular Diseases Risk Assessment Neural Networks, Computer Middle Aged Female Diabetes Mellitus, Type 2 Machine Learning Area Under Curve Aged
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Deep neural networks for texture classification-A theoretical analysis.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2017
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative representations. To this end, we first derive the size of the feature space f...
Likelihood Functions Databases, Factual Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms Classification
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Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2017
A novel, unsupervised nonparametric model of multivariate probability density functions (pdf) is introduced, namely the Parzen neural network (PNN). The PNN is intended to overcome the major limitations of traditional (either statistical or neural) p...
Sex Determination Analysis Algorithms Skull Databases, Factual Forensic Anthropology Tomography, X-Ray Computed Probability Theory Humans Male Neural Networks, Computer Image Processing, Computer-Assisted Female Machine Learning Reproducibility of Results
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