LEAP: Using machine learning to support variant classification in a clinical setting
Sign Up to like & getrecommendations! Published in 2020 at "Human Mutation"
DOI: 10.1002/humu.24011
Abstract: Advances in genome sequencing have led to a tremendous increase in the discovery of novel missense variants, but evidence for determining clinical significance can be limited or conflicting. Here, we present Learning from Evidence to… read more here.
Keywords: leap using; clinical setting; classification; machine learning ... See more keywords
Glioma grading using a machine‐learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.26704
Abstract: Glioma grading between intermediate grades (Grade II vs. III and Grade III vs. IV) as well as multiclass grades (Grade II vs. III vs. IV) is challenging and needs to be addressed. read more here.
Keywords: machine learning; using machine; grading using; glioma grading ... See more keywords
Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Orthopaedic Research"
DOI: 10.1002/jor.23519
Abstract: The purpose of this study is to evaluate the ability of a machine learning algorithm to classify in vivo magnetic resonance images (MRI) of human articular cartilage for development of osteoarthritis (OA). Sixty‐eight subjects were… read more here.
Keywords: machine; machine learning; using machine; magnetic resonance ... See more keywords
Exploring Genome-Wide Expression Profiles Using Machine Learning Techniques.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6685-1_20
Abstract: Although contemporary high-throughput -omics methods produce high-dimensional data, the resulting wealth of information is difficult to assess using traditional statistical procedures. Machine learning methods facilitate the detection of additional patterns, beyond the mere identification of… read more here.
Keywords: machine; genome wide; classification; machine learning ... See more keywords
A design and development of an intelligent jammer and jamming detection methodologies using machine learning approach
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2822-7
Abstract: Nowadays, the utilization of mobile phones has increased rapidly. Due to this evolution schools, mosques, prisons, etc., require silence and security. This is achieved by using the mobile phone jammers. An intelligent mobile jammer is… read more here.
Keywords: detection; machine learning; using machine; jammer ... See more keywords
Using machine learning for communication classification
Sign Up to like & getrecommendations! Published in 2019 at "Experimental Economics"
DOI: 10.1007/s10683-018-09600-z
Abstract: The present study explores the value of machine learning techniques in the classification of communication content in experiments. Previously human-coded datasets are used to both train and test algorithm-generated models that relate word counts to… read more here.
Keywords: classification; machine learning; using machine; learning communication ... See more keywords
Study of short term rain forecasting using machine learning based approach
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Networks"
DOI: 10.1007/s11276-019-02168-3
Abstract: Weather forecasting has been still dependent on statistical and numerical analysis in most part of the world. Though statistical and numerical analysis provides better results, it highly depends on stable historical relationships with the predict… read more here.
Keywords: machine; machine learning; using machine; study ... See more keywords
Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2018.06.007
Abstract: PURPOSE Global indices of standard automated perimerty are insensitive to localized losses, while point-wise indices are sensitive but highly variable. Region-wise indices sit in between. This study introduces a machine learning-based index for glaucoma progression… read more here.
Keywords: machine; machine learning; using machine; glaucoma ... See more keywords
Designing UHMWPE hybrid composites using machine learning and metaheuristic algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Composite Structures"
DOI: 10.1016/j.compstruct.2021.113898
Abstract: Abstract The artificial replacement of hip joints comes into play when an individual is affected by different types of arthritis or sudden trauma. Hip prosthesis involves the usage of ultra-high-molecular-weight polyethylene (UHMWPE) as an acetabular… read more here.
Keywords: hybrid composites; designing uhmwpe; uhmwpe hybrid; using machine ... See more keywords
Eucalyptus growth recognition using machine learning methods and spectral variables
Sign Up to like & getrecommendations! Published in 2021 at "Forest Ecology and Management"
DOI: 10.1016/j.foreco.2021.119496
Abstract: Abstract Growth and production models can help to simulate the growth of tree dimensions to predict forest productivity at different levels. In this context, the following questions arise: (i) is it possible to recognize the… read more here.
Keywords: growth; spectral variables; using machine; machine learning ... See more keywords
Selection of CDMA and OFDM using machine learning in underwater wireless networks
Sign Up to like & getrecommendations! Published in 2019 at "ICT Express"
DOI: 10.1016/j.icte.2019.09.002
Abstract: Abstract Underwater acoustic (UWA) channels have long propagation delays and irregular Doppler shifts, which make the design of communication scheme difficult. Even though two transceivers are fixed, UWA channels dramatically vary by time since speed… read more here.
Keywords: using machine; cdma ofdm; selection; selection cdma ... See more keywords