AIMC Topic: Datasets as Topic

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Resource Classification for Medical Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
We present an approach for manually and automatically classifying the resource type of medical questions. Three types of resources are considered: patient-specific, general knowledge, and research. Using this approach, an automatic question answering...
Information Storage and Retrieval Algorithms Semantics Natural Language Processing Information Seeking Behavior Datasets as Topic Humans Hypersensitivity Machine Learning
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Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Determining the main topics in consumer health questions is a crucial step in their processing as it allows narrowing the search space to a specific semantic context. In this paper we propose a topic recognition approach based on biomedical and open-...
Information Seeking Behavior Consumer Health Information Datasets as Topic Information Storage and Retrieval Semantics Humans Natural Language Processing Knowledge Bases
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Dermatologist-level classification of skin cancer with deep neural networks.

Nature Jan 25, 2017
Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of ski...
Humans Neural Networks, Computer Dermatologists Keratinocytes Datasets as Topic Melanoma Skin Neoplasms Reproducibility of Results Nevus Keratosis, Seborrheic Automation Photography Cell Phone
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A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects.

Journal of integrative neuroscience Jan 17, 2017
The huge number of voxels in fMRI over time poses a major challenge to for effective analysis. Fast, accurate, and reliable classifiers are required for estimating the decoding accuracy of brain activities. Although machine-learning classifiers seem ...
Magnetic Resonance Imaging Humans Fuzzy Logic Neural Networks, Computer Datasets as Topic Machine Learning Neuropsychological Tests Brain Visual Perception Cognition
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SVM and SVM Ensembles in Breast Cancer Prediction.

PloS one Jan 6, 2017
Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among...
Support Vector Machine Models, Biological Datasets as Topic Machine Learning Algorithms Female Humans Reproducibility of Results Breast Neoplasms ROC Curve
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Nano Random Forests to mine protein complexes and their relationships in quantitative proteomics data.

Molecular biology of the cell Jan 5, 2017
Ever-increasing numbers of quantitative proteomics data sets constitute an underexploited resource for investigating protein function. Multiprotein complexes often follow consistent trends in these experiments, which could provide insights about thei...
Machine Learning Computer Simulation Proteomics Adenosine Triphosphatases Multiprotein Complexes Kinetochores Structure-Activity Relationship DNA-Binding Proteins Datasets as Topic
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A L1-regularized feature selection method for local dimension reduction on microarray data.

Computational biology and chemistry Dec 31, 2016
Dimension reduction is a crucial technique in machine learning and data mining, which is widely used in areas of medicine, bioinformatics and genetics. In this paper, we propose a two-stage local dimension reduction approach for classification on mic...
Datasets as Topic Linear Models Microarray Analysis Data Mining
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A new model of flavonoids affinity towards P-glycoprotein: genetic algorithm-support vector machine with features selected by a modified particle swarm optimization algorithm.

Archives of pharmacal research Dec 27, 2016
Flavonoids exhibit a high affinity for the purified cytosolic NBD (C-terminal nucleotide-binding domain) of P-glycoprotein (P-gp). To explore the affinity of flavonoids for P-gp, quantitative structure-activity relationship (QSAR) models were develop...
Flavonoids Models, Chemical Protein Domains Protein Binding ATP Binding Cassette Transporter, Subfamily B, Member 1 Support Vector Machine Datasets as Topic Quantitative Structure-Activity Relationship
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Online 3D Ear Recognition by Combining Global and Local Features.

PloS one Dec 9, 2016
The three-dimensional shape of the ear has been proven to be a stable candidate for biometric authentication because of its desirable properties such as universality, uniqueness, and permanence. In this paper, a special laser scanner designed for onl...
Humans Machine Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Datasets as Topic Ear Lasers Biometric Identification
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Resistance gene identification from Larimichthys crocea with machine learning techniques.

Scientific reports Dec 6, 2016
The research on resistance genes (R-gene) plays a vital role in bioinformatics as it has the capability of coping with adverse changes in the external environment, which can form the corresponding resistance protein by transcription and translation. ...
Cation Transport Proteins Genome Disease Resistance Histocompatibility Antigens Perciformes Immunoglobulins Datasets as Topic Gene Expression Regulation Fish Proteins Interferons Immunity, Innate Fish Diseases Antimicrobial Cationic Peptides Machine Learning Animals
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