AIMC Topic: Data Interpretation, Statistical

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Bioimage Informatics for Big Data.

Advances in anatomy, embryology, and cell biology Jan 1, 2016
Bioimage informatics is a field wherein high-throughput image informatics methods are used to solve challenging scientific problems related to biology and medicine. When the image datasets become larger and more complicated, many conventional image a...
Humans Data Interpretation, Statistical Microscopy, Fluorescence Molecular Imaging Pattern Recognition, Automated Machine Learning Image Processing, Computer-Assisted Computational Biology
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Machine learning: Trends, perspectives, and prospects.

Science (New York, N.Y.) Jul 17, 2015
Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core...
Computer Systems Data Interpretation, Statistical Humans Artificial Intelligence Algorithms
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Should You Trust Your Money to a Robot?

Big data Jun 1, 2015
Financial markets emanate massive amounts of data from which machines can, in principle, learn to invest with minimal initial guidance from humans. I contrast human and machine strengths and weaknesses in making investment decisions. The analysis rev...
Decision Making Robotics Data Interpretation, Statistical Artificial Intelligence Algorithms Trust Financial Management Investments Humans
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Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute) Jun 1, 2015
INTRODUCTION: The United States Environmental Protection Agency (U.S. EPA*) currently regulates individual air pollutants on a pollutant-by-pollutant basis, adjusted for other pollutants and potential confounders. However, the National Academies of S...
Artificial Intelligence Prospective Studies Computer Simulation Aged Humans Air Pollution Particulate Matter Environmental Exposure Hazardous Substances United States Environmental Protection Agency Dogs Respiratory Tract Diseases Data Interpretation, Statistical Animals Air Pollutants United States Bayes Theorem Environmental Monitoring
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Delay-based reservoir computing: noise effects in a combined analog and digital implementation.

IEEE transactions on neural networks and learning systems Feb 1, 2015
Reservoir computing is a paradigm in machine learning whose processing capabilities rely on the dynamical behavior of recurrent neural networks. We present a mixed analog and digital implementation of this concept with a nonlinear analog electronic c...
Neural Networks, Computer Artificial Intelligence Computer Simulation Data Interpretation, Statistical Nonlinear Dynamics
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On mining incomplete medical datasets: Ordering imputation and classification.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: To collect medical datasets, it is usually the case that a number of data samples contain some missing values. Performing the data mining task over the incomplete datasets is a difficult problem. In general, missing value imputation can b...
Data Interpretation, Statistical Humans Data Mining Data Accuracy Algorithms Support Vector Machine
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A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Bio-medical materials and engineering Jan 1, 2015
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder...
Data Interpretation, Statistical Humans Pattern Recognition, Automated Neural Networks, Computer Reproducibility of Results Electrocardiography Atrial Premature Complexes Ventricular Premature Complexes Algorithms Regression Analysis Bundle-Branch Block Sensitivity and Specificity Diagnosis, Differential Diagnosis, Computer-Assisted
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Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

Bio-medical materials and engineering Jan 1, 2015
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these ch...
Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Pattern Recognition, Automated Neural Networks, Computer False Positive Reactions Humans Computer Simulation Stochastic Processes Algorithms Female Radiographic Image Enhancement Models, Statistical Reproducibility of Results Sample Size Sensitivity and Specificity Data Interpretation, Statistical Breast Neoplasms
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A Statistical Analysis of Term Occurrences in Radiology Reporting.

Studies in health technology and informatics Jan 1, 2015
To compare term occurrences in free-text radiology reports and RSNA reporting templates, we selected five templates from an RSNA reporting template library and their corresponding free-text reports as a test set, and employed the Wilcoxon signed-rank...
Radiology Information Systems North America Electronic Health Records Data Mining Natural Language Processing Pattern Recognition, Automated Data Interpretation, Statistical Terminology as Topic
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Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.

Studies in health technology and informatics Jan 1, 2015
Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using ...
Outcome Assessment, Health Care Likelihood Functions Effect Modifier, Epidemiologic Natural Language Processing Data Interpretation, Statistical Data Mining Humans Electronic Health Records Machine Learning Decision Support Systems, Clinical Algorithms
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