AIMC Topic: Machine Learning

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Automatic negation detection in narrative pathology reports.

Artificial intelligence in medicine Mar 24, 2015
OBJECTIVE: To detect negations of medical entities in free-text pathology reports with different approaches, and evaluate their performances.
Algorithms Support Vector Machine Lymphoma Data Mining Medical Informatics Machine Learning Pathology
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Locality-constrained Subcluster Representation Ensemble for lung image classification.

Medical image analysis Mar 24, 2015
In this paper, we propose a new Locality-constrained Subcluster Representation Ensemble (LSRE) model, to classify high-resolution computed tomography (HRCT) images of interstitial lung diseases (ILDs). Medical images normally exhibit large intra-clas...
Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement Lung Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Humans Machine Learning
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Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

PloS one Mar 24, 2015
As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcriptional regulatory elements) becomes more desirable. Promoters are the key regulatory elements, whi...
Molecular Sequence Annotation DNA-Directed RNA Polymerases Sigma Factor Escherichia coli Machine Learning Base Sequence Algorithms Promoter Regions, Genetic Computational Biology
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A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

Computers in biology and medicine Mar 23, 2015
Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing End Stage Renal Disease (ESRD). Iron supplement and especially Erythropoiesis Stimulating Agents (ESA) have become the treatment of choice for that ane...
Renal Dialysis Cohort Studies Kidney Failure, Chronic Models, Biological Anemia Humans Machine Learning Female Male
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Data Mining and Machine Learning Tools for Combinatorial Material Science of All-Oxide Photovoltaic Cells.

Molecular informatics Mar 20, 2015
Growth in energy demands, coupled with the need for clean energy, are likely to make solar cells an important part of future energy resources. In particular, cells entirely made of metal oxides (MOs) have the potential to provide clean and affordable...
Data Mining Solar Energy Models, Theoretical Oxides Machine Learning Metals
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Machine learning approaches to analysing textual injury surveillance data: a systematic review.

Accident; analysis and prevention Mar 19, 2015
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
Adult Male Middle Aged Infant Aged Aged, 80 and over Young Adult Models, Theoretical Population Surveillance Data Mining Statistics as Topic Adolescent Child, Preschool Child Female Infant, Newborn Humans Machine Learning Wounds and Injuries
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An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Journal of medical systems Mar 19, 2015
Human activity recognition is important in the study of personal health, wellness and lifestyle. In order to acquire human activity information from the personal space, many wearable multi-sensor devices have been developed. In this paper, a novel te...
Algorithms Models, Statistical Markov Chains Monitoring, Ambulatory Humans Machine Learning
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Multicomponent signal unmixing from nanoheterostructures: overcoming the traditional challenges of nanoscale X-ray analysis via machine learning.

Nano letters Mar 17, 2015
The chemical composition of core-shell nanoparticle clusters have been determined through principal component analysis (PCA) and independent component analysis (ICA) of an energy-dispersive X-ray (EDX) spectrum image (SI) acquired in a scanning trans...
Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated X-Ray Diffraction Microscopy, Electron, Transmission Imaging, Three-Dimensional Magnetite Nanoparticles Materials Testing
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Logistic Models Machine Learning Algorithms Models, Theoretical Humans Databases, Factual Brain Injuries Injury Severity Score Skull Fractures Tomography, X-Ray Computed Vomiting Retrospective Studies Case-Control Studies Population Surveillance Female Multivariate Analysis Child Unconsciousness Child, Preschool Accidents, Traffic Male ROC Curve
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Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning.

Translational psychiatry Mar 17, 2015
Cognitive behavior therapy (CBT) is an effective treatment for social anxiety disorder (SAD), but many patients do not respond sufficiently and a substantial proportion relapse after treatment has ended. Predicting an individual's long-term clinical ...
Internet Therapy, Computer-Assisted Cognitive Behavioral Therapy Treatment Outcome Magnetic Resonance Imaging Brain Mapping Humans Machine Learning Brain Male Anxiety Disorders Female Adult
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