AIMC Topic: Machine Learning

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Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.

NeuroImage Aug 18, 2018
INTRODUCTION: The main goal of this work is to investigate the feasibility of estimating an anatomical index that can be used as an Alzheimer's disease (AD) risk factor in the Women's Health Initiative Magnetic Resonance Imaging Study (WHIMS-MRI) usi...
Female Aged Risk Assessment Databases, Factual Prognosis Alzheimer Disease Neuroimaging White Matter Cognitive Dysfunction Follow-Up Studies Magnetic Resonance Imaging Humans Machine Learning
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Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

International journal of medical informatics Aug 18, 2018
BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has made large amounts of data available for clinical research including breast cancer. Unfortunately, much of detailed clinical information is embedded in...
Deep Learning China Ultrasonography, Mammary Image Interpretation, Computer-Assisted Radiology Information Systems Algorithms Female Humans Breast Neoplasms Machine Learning
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Robust liver vessel extraction using 3D U-Net with variant dice loss function.

Computers in biology and medicine Aug 18, 2018
PURPOSE: Liver vessel extraction from CT images is essential in liver surgical planning. Liver vessel segmentation is difficult due to the complex vessel structures, and even expert manual annotations contain unlabeled vessels. This paper presents an...
Databases, Factual Tomography, X-Ray Computed Liver Blood Vessels Humans Machine Learning
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Letter to the Editor. Class imbalance in machine learning for neurosurgical outcome prediction: are our models valid?

Journal of neurosurgery. Spine Aug 17, 2018
Neurosurgical Procedures Machine Learning Prognosis
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Algorithmic Analysis of Cahn-Ingold-Prelog Rules of Stereochemistry: Proposals for Revised Rules and a Guide for Machine Implementation.

Journal of chemical information and modeling Aug 17, 2018
The most recent version of the Cahn-Ingold-Prelog rules for the determination of stereodescriptors as described in Nomenclature of Organic Chemistry: IUPAC Recommendations and Preferred Names 2013 (the "Blue Book"; Favre and Powell. Royal Society of ...
Machine Learning Software Algorithms Models, Molecular Molecular Structure Computer Simulation Stereoisomerism Organic Chemicals Structure-Activity Relationship
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Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms.

Journal of medical systems Aug 17, 2018
Periventricular leukomalacia (PVL) is brain injury that develops commonly in neonates after cardiac surgery. Earlier identification of patients who are at higher risk for PVL may improve clinicians' ability to optimize care for these challenging pati...
Cardiac Surgical Procedures Leukomalacia, Periventricular Algorithms Retrospective Studies Pregnancy Female Infant, Newborn Reproducibility of Results Humans Machine Learning
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Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2018
The ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-sp...
Climate Change Models, Theoretical Atmosphere Carbon Carbon Cycle Bayes Theorem Ecological Parameter Monitoring Neural Networks, Computer Oregon Machine Learning
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Transfer learning for classification of cardiovascular tissues in histological images.

Computer methods and programs in biomedicine Aug 16, 2018
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...
Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer Cardiovascular System Models, Cardiovascular Histological Techniques Image Processing, Computer-Assisted Support Vector Machine Reference Values Models, Anatomic
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Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.

Computer methods and programs in biomedicine Aug 16, 2018
OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical literature, and Electronic Health Record (EHR), requires powerful novel technologies and architectures to unlock the information hidden in the unstructu...
Knowledge Bases Data Mining Semantics Biological Ontologies Disease Drug Therapy Machine Learning Algorithms Decision Support Systems, Clinical Humans
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GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data.

Computers in biology and medicine Aug 16, 2018
In the age of ever increasing data, faster and more efficient data processing algorithms are needed. Graphics Processing Units (GPU) are emerging as a cost-effective alternative architecture for high-end computing. The optimal design of GPU algorithm...
Electronic Data Processing Big Data Models, Theoretical Machine Learning
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