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Showing 69221 to 69230 of 95995 articles
Using echo state networks for classification: A case study in Parkinson's disease diagnosis.
Artificial intelligence in medicine
Feb 21, 2018
Despite having notable advantages over established machine learning methods for time series analysis, reservoir computing methods, such as echo state networks (ESNs), have yet to be widely used for practical data mining applications. In this paper, w...
Fuzzy Expert System based on a Novel Hybrid Stem Cell (HSC) Algorithm for Classification of Micro Array Data.
Journal of medical systems
Feb 21, 2018
In the growing scenario, microarray data is extensively used since it provides a more comprehensive understanding of genetic variants among diseases. As the gene expression samples have high dimensionality it becomes tedious to analyze the samples ma...
Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet.
Scientific reports
Feb 21, 2018
Computer-based technological innovation provides advancements in sophisticated and diverse analytical instruments, enabling massive amounts of data collection with relative ease. This is accompanied by a fast-growing demand for technological progress...
Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus.
Nature communications
Feb 21, 2018
Although Hi-C technology is one of the most popular tools for studying 3D genome organization, due to sequencing cost, the resolution of most Hi-C datasets are coarse and cannot be used to link distal regulatory elements to their target genes. Here w...
Genes sharing the protein family domain decrease the performance of classification with RNA-seq genomic signatures.
Biology direct
Feb 21, 2018
BACKGROUND: The experience with running various types of classification on the CAMDA neuroblastoma dataset have led us to the conclusion that the results are not always obvious and may differ depending on type of analysis and selection of genes used ...
Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.
Frontiers in immunology
Feb 21, 2018
The adaptive immune system recognizes antigens an immense array of antigen-binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive immune response in...
Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments.
Applied clinical informatics
Feb 21, 2018
BACKGROUND: Identifying pneumonia using diagnosis codes alone may be insufficient for research on clinical decision making. Natural language processing (NLP) may enable the inclusion of cases missed by diagnosis codes.
Predictors of activities of daily living outcomes after upper limb robot-assisted therapy in subacute stroke patients.
PloS one
Feb 21, 2018
BACKGROUND: Upper limb recovery is one of the main goals of post-stroke rehabilitation due to its importance for autonomy in Activities of Daily Living (ADL). Although the efficacy of upper limb Robot-assisted Therapy (RT) is well established in lite...
Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data.
IEEE journal of biomedical and health informatics
Feb 20, 2018
Fall detection is an important public healthcare problem. Timely detection could enable instant delivery of medical service to the injured. A popular nonintrusive solution for fall detection is based on videos obtained through ambient camera, and the...
Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models.
Informatics for health & social care
Feb 20, 2018
Tuberculosis (TB) is a deadly contagious disease and a serious global health problem. It is curable but due to its lengthy treatment process, a patient is likely to leave the treatment incomplete, leading to a more lethal, drug resistant form of dise...
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