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Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02486-0
Abstract: Non-negativity is a critical and explainable property in linear representation-based methods leading to promising performances in the pattern classification field. Based on the non-negativity, a powerful linear representation-based classifier was proposed, namely non-negative representation-based classifier…
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Keywords:
representation;
representation based;
based classifier;
linear representation ... See more keywords
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Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1259-8
Abstract: Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public…
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Keywords:
control level;
classifier supervised;
based classifier;
ensemble learning ... See more keywords
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Published in 2020 at "ICT Express"
DOI: 10.1016/j.icte.2019.08.004
Abstract: Abstract Wireless networks have evolved over the years and they have become some of the most prominent communication media. These networks generally transmit large volumes of information at any given time. This has engendered a…
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Keywords:
term memory;
based classifier;
long short;
classifier wireless ... See more keywords
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Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-27189-4
Abstract: Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-based classifier of mild/moderate asthma. 190 subjects with mild/moderate asthma and controls underwent nasal brushing and RNA sequencing of nasal…
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Keywords:
machine learning;
nasal brush;
brush based;
classifier asthma ... See more keywords
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Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-53811-0
Abstract: Long non-coding RNAs (lncRNAs) which have little or no protein-coding capacity, due to their potential roles in the cancer disease, caught a particular interest. Our study aims to develop an lncRNAs-based classifier and a nomogram…
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Keywords:
recurrence;
analysis;
lncrnas based;
lncrnas classifier ... See more keywords
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Published in 2019 at "Interactive cardiovascular and thoracic surgery"
DOI: 10.1093/icvts/ivz150
Abstract: OBJECTIVES Oesophagectomy for malignancy is a highly complex and difficult procedure associated with considerable postoperative complications. In this study, we aimed to identify the ability of an intraoperative factor (IPFs)-based classifier to predict complications after…
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Keywords:
based classifier;
postoperative morbidity;
morbidity;
complications oesophagectomy ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3081767
Abstract: In the diagnosis of epileptic seizures, classification is an important step that directly affects the results. Visual inspection of Electroencephalogram (EEG) is a relatively common analytic method of epilepsy, but it is costly, time-consuming and…
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Keywords:
diagnosis;
based classifier;
distance;
extended nearest ... See more keywords
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Published in 2022 at "Journal of Cellular and Molecular Medicine"
DOI: 10.1111/jcmm.17554
Abstract: To identify prostate cancer (PCa) patients with a high risk of recurrence is critical before delivering adjuvant treatment. We developed a classifier based on the Enzalutamide treatment resistance‐related genes to assist the currently available staging…
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Keywords:
resistance related;
recurrence;
based classifier;
prostate cancer ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8109147
Abstract: This paper discusses the machine learning effect on healthcare and the development of an application named “Medicolite” in which various modules have been developed for convenience with health-related problems like issues with diet. It also…
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Keywords:
information;
system;
machine;
machine learning ... See more keywords
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Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-979
Abstract: Background: Pancreatic ductal adenocarcinoma (PDAC) demonstrates variable prognosis and response to first-line FOLFIRINOX therapy depending on molecular subtype; patients with classical tumors showed a greater response compared to basal-like tumors. Identifying molecular subtype may inform…
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Keywords:
methylation;
methylation based;
based classifier;
adenocarcinoma ... See more keywords
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Published in 2017 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2017.35.15_suppl.11034
Abstract: 11034Background: Bone sarcomas present a unique diagnostic challenge because of the considerable morphologic overlap between different entities. The choice of optimal treatment, however, is dependent upon accurate diagnosis. Genome-wide DNA methylation profiling has emerged as…
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Keywords:
methylation;
diagnosis;
methylation based;
based classifier ... See more keywords