AIMC Topic: Machine Learning

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Learning About Machine Learning to Create a Self-Driving Echocardiographic Laboratory.

Circulation Oct 16, 2018
Machine Learning Echocardiography
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Perspectives and applications of machine learning for evolutionary developmental biology.

Molecular omics Oct 8, 2018
Evolutionary Developmental Biology (Evo-Devo) is an ever-expanding field that aims to understand how development was modulated by the evolutionary process. In this sense, "omic" studies emerged as a powerful ally to unravel the molecular mechanisms u...
Computational Biology Evolution, Molecular Developmental Biology Humans Machine Learning Animals
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Blind prediction of protein B-factor and flexibility.

The Journal of chemical physics Oct 7, 2018
The Debye-Waller factor, a measure of X-ray attenuation, can be experimentally observed in protein X-ray crystallography. Previous theoretical models have made strong inroads in the analysis of beta (B)-factors by linearly fitting protein B-factors f...
Humans Protein Conformation Computer Graphics Machine Learning Receptors, Fc Algorithms Databases, Protein Animals Elasticity Crystallography, X-Ray
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Towards trustable machine learning.

Nature biomedical engineering Oct 1, 2018
Colonic Polyps Biomarkers Humans Pattern Recognition, Automated Risk Factors Machine Learning Colonoscopy
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Detecting colorectal polyps via machine learning.

Nature biomedical engineering Oct 1, 2018
Colonic Polyps Humans Machine Learning Algorithms Colonoscopy
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A systematic exploration of [Formula: see text] cutoff ranges in machine learning models for protein mutation stability prediction.

Journal of bioinformatics and computational biology Oct 1, 2018
Discerning how a mutation affects the stability of a protein is central to the study of a wide range of diseases. Mutagenesis experiments on physical proteins provide precise insights about the effects of amino acid substitutions, but such studies ar...
Algorithms Computational Biology Support Vector Machine Neural Networks, Computer Machine Learning Random Allocation Proteins Amino Acid Substitution Mutation Protein Stability
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Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.

Circulation. Cardiovascular quality and outcomes Oct 1, 2018
Risk Assessment Genetic Predisposition to Disease Computational Biology Heredity Predictive Value of Tests Genetic Testing Data Mining Cardiomyopathy, Dilated Prognosis Arrhythmogenic Right Ventricular Dysplasia Reproducibility of Results Humans Cardiomyopathy, Hypertrophic, Familial Machine Learning Risk Factors Genetic Variation Phenotype High-Throughput Nucleotide Sequencing Pedigree
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[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].

Harefuah Oct 1, 2018
The use of big data is in its first years of entering the medical world. Big data research enables analysis of very large volumes of data, identifying patterns and findings which traditional statistical methods cannot handle. The diagnosis of colorec...
Mass Screening Israel Occult Blood Colorectal Neoplasms Male Big Data Aged Sensitivity and Specificity Humans Machine Learning Algorithms
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The use of multimedia medical data and machine learning for various diagnoses.

Computer methods and programs in biomedicine Oct 1, 2018
Diagnosis, Computer-Assisted Multimedia Humans Glaucoma Machine Learning
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Retool AI to forecast and limit wars.

Nature Oct 1, 2018
Artificial Intelligence Machine Learning Forecasting Humans Iraq Data Collection Violence Databases, Factual Computer Simulation Child Relief Work United Nations Gross Domestic Product Afghan Campaign 2001- Armed Conflicts Sociological Factors Syria
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