Search results for " Machine-learning"

showing 3 items of 3 documents

Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease

2020

Abstract Background Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. Methods To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loc…

0301 basic medicinegenetic structures610 MedizinGenome-wide association studyMacular Degeneration0302 clinical medicineAdvanced diseaseCD46Genetics (clinical)GeneticsInternational AMD genomics consortium (IAMDGC)ddc:6100303 health sciencesGenome-wide association study (GWAS)3. Good health030220 oncology & carcinogenesisAge-related macular degeneration (AMD)Meta-analysisResearch ArticleGenetic Markerslcsh:Internal medicineUK biobank (UKBB)lcsh:QH426-470Locus (genetics)GenomicsComputational biologyBiologyPolymorphism Single NucleotideGenome-wide association study (GWAS) Meta-analysis Age-related macular degeneration (AMD) Early AMD CD46 TYR International AMD genomics consortium (IAMDGC) UK biobank (UKBB) Machine-learning Automated phenotyping03 medical and health sciencesEarly AMDGeneticsmedicineHumansGenetic Predisposition to DiseaseGenome-wide Association Study (gwas) ; Meta-analysis ; Age-related Macular Degeneration (amd) ; Early Amd ; Cd46 ; Tyr ; International Amd Genomics Consortium (iamdgc) ; Uk Biobank (ukbb) ; Machine-learning ; Automated Phenotypinglcsh:RC31-1245Machine-learning030304 developmental biologyTYRCD46Macular degenerationmedicine.diseaseHuman geneticseye diseasesGenetic architectureMeta-analysislcsh:Genetics030104 developmental biologyGenetic LociCase-Control StudiesAutomated phenotypingHTRA1030221 ophthalmology & optometrysense organsGenome-Wide Association Study
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Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape.

2022

Accurate plant-type (PT) detection forms an important basis for sustainable land management maintaining biodiversity and ecosystem services. In this sense, Sentinel-2 satellite images of the Copernicus program offer spatial, spectral, temporal, and radiometric characteristics with great potential for mapping and monitoring PTs. In addition, the selection of a best-performing algorithm needs to be considered for obtaining PT classification as accurate as possible . To date, no freely downloadable toolbox exists that brings the diversity of the latest supervised machine-learning classification algorithms (MLCAs) together into a single intuitive user-friendly graphical user interface (GUI). To…

General Earth and Planetary SciencesAutomated Radiative Transfer Models Operator; machine-learning classification toolbox; Gaussian process classifier; plant types; Sentinel-2Remote sensing
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Machine Learning Models for Measuring Syntax Complexity of English Text

2019

In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.

naturallanguage-processingText simplificationComputer science02 engineering and technologyEnglish languagecomputer.software_genredeep-learningtext-simplification03 medical and health sciences0302 clinical medicinetext-evaluation0202 electrical engineering electronic engineering information engineeringText-simplification Deep-learning Machine-learningSequenceSyntax (programming languages)Settore INF/01 - Informaticabusiness.industryDeep learningSupport vector machineRecurrent neural network020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer030217 neurology & neurosurgerySentenceNatural language processing
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