Search Results - "Classification algorithms"

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  1. 1

    Performance comparison of different classification algorithms applied to the diagnosis of familial hypercholesterolemia in paediatric subjects by Albuquerque, João, Medeiros, Ana Margarida, Alves, Ana Catarina, Bourbon, Mafalda, Antunes, Marília

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 21.01.2022
    Published in Scientific reports (21.01.2022)
    “…Familial Hypercholesterolemia (FH) is an inherited disorder of lipid metabolism, characterized by increased low density lipoprotein cholesterol (LDLc) levels…”
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    Journal Article
  2. 2

    Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys by Ferri-García, Ramón, Rueda, María del Mar

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 22.04.2020
    Published in PloS one (22.04.2020)
    “…Modern survey methods may be subject to non-observable bias, from various sources…”
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  3. 3

    A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms by Haba, Rotem, Singer, Gonen, Naftali, Sara, Kramer, Mordechai R., Ratnovsky, Anat

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 01.08.2023
    Published in Expert systems with applications (01.08.2023)
    “… a subject’s asthma severity levels.•Identifications were made based on subject’s data, new subject’s data, and mixed data…”
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  4. 4

    Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers by Janke, Jonathan, Castelli, Mauro, Popovič, Aleš

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 30.11.2019
    Published in Expert systems with applications (30.11.2019)
    “…•Research that investigates CNN architectures for classification task.•Two steps method that combines CNN with other ML classifiers.•Large experimental phase…”
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  5. 5

    Detecting cognitive impairment by eye movement analysis using automatic classification algorithms by Lagun, Dmitry, Manzanares, Cecelia, Zola, Stuart M., Buffalo, Elizabeth A., Agichtein, Eugene

    ISSN: 0165-0270, 1872-678X, 1872-678X
    Published: Netherlands Elsevier B.V 30.09.2011
    Published in Journal of neuroscience methods (30.09.2011)
    “… ► An effective representation of eye movement characteristics such as fixations, saccades, and re-fixations as features for automatic classification algorithms…”
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  6. 6

    Diagnostic accuracy of swept source optical coherence tomography classification algorithms for detection of gonioscopic angle closure by Tan, Shayne S, Tun, Tin A, Sultana, Rehena, Tan, Marcus, Quah, Joanne HuiMin, Mani, Baskaran, Allen, John C, Cheng, Ching Yu, Nongpiur, Monisha Esther, Aung, Tin

    ISSN: 0007-1161, 1468-2079, 1468-2079
    Published: BMA House, Tavistock Square, London, WC1H 9JR BMJ Publishing Group Ltd 01.12.2022
    Published in British journal of ophthalmology (01.12.2022)
    “… algorithms.MethodsThis was a cross-sectional study of 2028 subjects without ophthalmic symptoms recruited from a community-based clinic…”
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  7. 7

    Classification algorithms based on anterior segment optical coherence tomography measurements for detection of angle closure by Nongpiur, Monisha E, Haaland, Benjamin A, Friedman, David S, Perera, Shamira A, He, Mingguang, Foo, Li-Lian, Baskaran, Mani, Sakata, Lisandro M, Wong, Tien Y, Aung, Tin

    ISSN: 1549-4713, 1549-4713
    Published: United States 01.01.2013
    Published in Ophthalmology (Rochester, Minn.) (01.01.2013)
    “… The aim of this study was to evaluate classification algorithms based on ASOCT measurements for the detection of gonioscopic angle closure…”
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  8. 8

    Type inference in flexible model-driven engineering using classification algorithms by Zolotas, Athanasios, Matragkas, Nicholas, Devlin, Sam, Kolovos, Dimitrios S., Paige, Richard F.

    ISSN: 1619-1366, 1619-1374
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2019
    Published in Software and systems modeling (01.02.2019)
    “…Flexible or bottom-up model-driven engineering (MDE) is an emerging approach to domain and systems modelling. Domain experts, who have detailed domain…”
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  9. 9

    Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners by Barbon, Sylvio, Guido, Rodrigo Capobianco, Aguiar, Gabriel Jonas, Santana, Everton José, Proença, Mario Lemes, Patil, Hemant A.

    ISSN: 0167-6393, 1872-7182
    Published: Elsevier B.V 01.07.2023
    Published in Speech communication (01.07.2023)
    “… Usual strategies, essentially based on machine learning (ML) algorithms, commonly classify a subject as being either healthy or pathologically-affected…”
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  10. 10

    Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG) by Lehmann, Christoph, Koenig, Thomas, Jelic, Vesna, Prichep, Leslie, John, Roy E., Wahlund, Lars-Olof, Dodge, Yadolah, Dierks, Thomas

    ISSN: 0165-0270, 1872-678X
    Published: Netherlands Elsevier B.V 15.04.2007
    Published in Journal of neuroscience methods (15.04.2007)
    “… Here we explored the ability of a multitude of linear and non-linear classification algorithms to discriminate between the electroencephalograms (EEGs…”
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  11. 11

    Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG by Roldan-Vasco, Sebastian, Restrepo-Agudelo, Sebastian, Valencia-Martinez, Yorhagy, Orozco-Duque, Andres

    ISSN: 1050-6411, 1873-5711, 1873-5711
    Published: England Elsevier Ltd 01.12.2018
    “…). Eight acquisition channels recorded the EMG activity of 47 healthy subjects while they swallowed water, yogurt and saliva…”
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  12. 12

    Breast cancer prediction using machine learning classification algorithms by La Moglia, Alan, Mohamad Almustafa, Khaled

    ISSN: 2666-5212, 2666-5212
    Published: Elsevier B.V 01.01.2025
    Published in Intelligence-based medicine (01.01.2025)
    “… 70 % accurate, leading to potential misdiagnosis. Biopsies, though more reliable, are subject to human error and conflicting specialist opinions, often requiring multiple biopsies…”
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  13. 13

    Parkinson's Disease Prediction Using Deep Learning Classification Algorithms by Kayacioglu, Rumeysa, Kaсar, Fırat

    ISSN: 2311-6951, 1996-353X
    Published: 25.02.2025
    “…complaints arising from neurological disorders continue to increase today. At the same time, studies on diagnosis and treatment methods in medicine are…”
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  14. 14

    Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease by Drera, Giovanni, Freddi, Sonia, Emelianov, Aleksei V, Bobrinetskiy, Ivan I, Chiesa, Maria, Zanotti, Michele, Pagliara, Stefania, Fedorov, Fedor S, Nasibulin, Albert G, Montuschi, Paolo, Sangaletti, Luigi

    ISSN: 2046-2069, 2046-2069
    Published: England Royal Society of Chemistry 10.09.2021
    Published in RSC advances (10.09.2021)
    “…An array of carbon nanotube (CNT)-based sensors was produced for sensing selective biomarkers and evaluating breathomics applications with the aid of clustering and classification algorithms…”
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  15. 15

    Classification algorithms analysis for brain–computer interface in drug craving therapy by Mazzoleni, Mirko, Previdi, Fabio, Bonfiglio, Natale Salvatore

    ISSN: 1746-8094, 1746-8108
    Published: Elsevier Ltd 01.07.2019
    Published in Biomedical signal processing and control (01.07.2019)
    “… These measurements are then used to design a better classification algorithm with respect to the default BCI classifier…”
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  16. 16

    Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment by Garefalakis, Thodoris, Michelaraki, Eva, Roussou, Stella, Katrakazas, Christos, Brijs, Tom, Yannis, George

    ISSN: 1866-8887, 1867-0717, 1866-8887
    Published: Cham Springer International Publishing 01.12.2024
    Published in European Transport Research Review (01.12.2024)
    “… To that end, four classification algorithms, namely support vector machines, random forest (RFs), AdaBoost, and multilayer…”
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  17. 17

    Urine Raman spectroscopy for rapid and inexpensive diagnosis of chronic renal failure (CRF) using multiple classification algorithms by Chen, Cheng, Yang, Li, Zhao, Jianyong, Yuan, Yushuai, Chen, Chen, Tang, Jun, Yang, Hong, Yan, Ziwei, Wang, Hang, Lv, Xiaoyi

    ISSN: 0030-4026, 1618-1336
    Published: Elsevier GmbH 01.02.2020
    Published in Optik (Stuttgart) (01.02.2020)
    “… In this study, we first explored Raman spectroscopy to classify urine from CRF patients and control subjects with normal renal function…”
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  18. 18

    A Hybrid Recommender System to Enrollment for Elective Subjects in Engineering Students using Classification Algorithms by Rivera, Jerson Erick Herrera

    ISSN: 2158-107X, 2156-5570
    Published: West Yorkshire Science and Information (SAI) Organization Limited 2020
    “…One of the main problems that engineering university students face is making the correct decision regarding the lines of elective subjects to enroll based on available information…”
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  19. 19

    Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms by Guo, Yu, Graber, Armin, McBurney, Robert N, Balasubramanian, Raji

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 03.09.2010
    Published in BMC bioinformatics (03.09.2010)
    “…Background Data generated using 'omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of subjects in the study…”
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  20. 20

    Exploring Classification Algorithms for Detecting Learning Loss in Islamic Religious Education: A Comparative Study by Sapdi, Rohmat Mulyana, Maylawati, Dian Sa'adillah, Ramdania, Diena Rauda, Budiman, Ichsan, Al-Amin, Muhammad Insan, Fuadi, Mi'raj

    ISSN: 2549-9610, 2549-9904
    Published: 31.05.2024
    “… Focusing on the effectiveness of multiple classification algorithms, the research assesses learning loss across literacy, numeracy, writing, and science domains…”
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