AIMC Topic: Machine Learning

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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

PLoS computational biology
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...

OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.

Journal of bioinformatics and computational biology
MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar ste...

Predicting High Imaging Utilization Based on Initial Radiology Reports: A Feasibility Study of Machine Learning.

Academic radiology
RATIONALE AND OBJECTIVES: Imaging utilization has significantly increased over the last two decades, and is only recently showing signs of moderating. To help healthcare providers identify patients at risk for high imaging utilization, we developed a...

Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning.

IEEE transactions on medical imaging
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an aut...

One pass learning for generalized classifier neural network.

Neural networks : the official journal of the International Neural Network Society
Generalized classifier neural network introduced as a kind of radial basis function neural network, uses gradient descent based optimized smoothing parameter value to provide efficient classification. However, optimization consumes quite a long time ...

A Guaranteed Similarity Metric Learning Framework for Biological Sequence Comparison.

IEEE/ACM transactions on computational biology and bioinformatics
Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. The distance and similarity between two sequence are very important and widely studied. During the last decades, Similarity(distance) metric ...

Exploiting ensemble learning for automatic cataract detection and grading.

Computer methods and programs in biomedicine
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one of the most common causes of visual impairment worldwide. Early diagnosis demands the expertise of trained healthcare professionals, which may present a...

A linear functional strategy for regularized ranking.

Neural networks : the official journal of the International Neural Network Society
Regularization schemes are frequently used for performing ranking tasks. This topic has been intensively studied in recent years. However, to be effective a regularization scheme should be equipped with a suitable strategy for choosing a regularizati...

A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics.

Neural networks : the official journal of the International Neural Network Society
Big dimensional data is a growing trend that is emerging in many real world contexts, extending from web mining, gene expression analysis, protein-protein interaction to high-frequency financial data. Nowadays, there is a growing consensus that the i...