AIMC Topic: Data Mining

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Multiview Convolutional Neural Networks for Multidocument Extractive Summarization.

IEEE transactions on cybernetics Nov 28, 2016
Multidocument summarization has gained popularity in many real world applications because vital information can be extracted within a short time. Extractive summarization aims to generate a summary of a document or a set of documents by ranking sente...
Natural Language Processing Data Mining Neural Networks, Computer Machine Learning Algorithms
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A Graph Approach to Mining Biological Patterns in the Binding Interfaces.

Journal of computational biology : a journal of computational molecular cell biology Nov 28, 2016
Protein-RNA interactions play important roles in the biological systems. Searching for regular patterns in the Protein-RNA binding interfaces is important for understanding how protein and RNA recognize each other and bind to form a complex. Herein, ...
Binding Sites Computer Graphics Proteins Amino Acid Motifs Humans Data Mining Protein Interaction Domains and Motifs RNA Animals Protein Conformation Computational Biology Molecular Docking Simulation RNA-Binding Proteins Protein Binding Support Vector Machine
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Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining.

Artificial intelligence in medicine Nov 25, 2016
OBJECTIVES: Traditional studies on effects of outdoor pollution on asthma have been criticized for questionable statistical validity and inefficacy in exploring the effects of multiple air pollutants, alone and in combination. Association rule mining...
Humans Machine Learning Asthma Cross-Over Studies Child Environmental Monitoring Air Pollution Data Mining
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Prediction of Protein-Protein Interactions by Evidence Combining Methods.

International journal of molecular sciences Nov 22, 2016
Most cellular functions involve proteins' features based on their physical interactions with other partner proteins. Sketching a map of protein-protein interactions (PPIs) is therefore an important inception step towards understanding the basics of c...
Saccharomyces cerevisiae Drosophila melanogaster Molecular Sequence Annotation Gene Ontology Models, Molecular Data Mining High-Throughput Nucleotide Sequencing Datasets as Topic Protein Interaction Mapping Protein Interaction Domains and Motifs Arabidopsis Humans Computer Simulation Animals Mice Computational Biology Support Vector Machine Escherichia coli Proteins
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Advanced literature analysis in a Big Data world.

Annals of the New York Academy of Sciences Nov 10, 2016
Comprehensive data mining of the scientific literature has become an increasing challenge. To address this challenge, Elsevier's Pathway Studio software uses the techniques of natural language processing to systematically extract specific biological ...
Software Mental Disorders Biomarkers Prognosis Biomedical Research Humans Periodicals as Topic Translational Research, Biomedical Schizophrenia Data Mining Database Management Systems Databases, Bibliographic Computational Biology Abstracting and Indexing Animals United States Depressive Disorder, Major National Institute of Mental Health (U.S.) Mass Screening Anxiety Disorders Natural Language Processing Bipolar Disorder
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Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest.

Yearbook of medical informatics Nov 10, 2016
OBJECTIVE: To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP).
Data Mining Unified Medical Language System Algorithms Electronic Health Records Natural Language Processing Patient Selection Humans
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Using machine learning to parse breast pathology reports.

Breast cancer research and treatment Nov 8, 2016
PURPOSE: Extracting information from electronic medical record is a time-consuming and expensive process when done manually. Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine le...
Humans Breast Neoplasms Machine Learning Neoplasm Staging Databases, Factual Neoplasm Grading Electronic Health Records Female Data Mining Reproducibility of Results Neoplasm Metastasis
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Can Big Data Fulfill Its Promise?

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
Humans Data Mining Statistics as Topic
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Risk Factors Machine Learning Percutaneous Coronary Intervention Algorithms Aged Propensity Score Databases, Factual Humans Data Mining Aged, 80 and over Middle Aged Female Likelihood Functions Quality Indicators, Health Care Logistic Models Male Massachusetts Hospitals Treatment Outcome Multivariate Analysis Process Assessment, Health Care Time Factors Cause of Death Hospital Mortality Registries
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Predictive Value of Tests Area Under Curve Heart Failure Data Mining Early Diagnosis Pennsylvania Incidence Time Factors ROC Curve Humans Logistic Models Prognosis Machine Learning Risk Factors Electronic Health Records Male Female Risk Assessment Case-Control Studies
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