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OpenAlex konusu

Artificial Intelligence in Healthcare

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 1.821 eser 142 yazar konusu

Çalışmalar

1.821 eser

  1. Bibliometric Analysis using Bibliometrix an R Package 2020
    YÖKSİS SJR Q3 JCR Q3 OpenAlex üst %1 OpenAlex 99.9%

    This study aims to explore the usage of Open-source software in bibliometric analysis. Biblio-metrix an R package for bibliometric and co-citation analysis was used to achieve the research activities. R is an ecosystem software meaning all functions are shared in an open-source environment with the users. We have used…

  2. Patient Subtyping via Time-Aware LSTM Networks 2017
    OpenAlex üst %1 OpenAlex 99.7%

    In the study of various diseases, heterogeneity among patients usually leads to different progression patterns and may require different types of therapeutic intervention. Therefore, it is important to study patient subtyping, which is grouping of patients into disease characterizing subtypes. Subtyping from complex p…

  3. Design of a hybrid system for the diabetes and heart diseases 2008
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 97.9%

    Özet henüz yok.

  4. Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease 2006
    OpenAlex üst %1 OpenAlex 99.4%

    Özet henüz yok.

  5. easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment 2016
    OpenAlex üst %1 OpenAlex 99.7%

    ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

  6. easyROC: an interactive web-tool for ROC curve analysis using R language environment 2016
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.7%

    ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

  7. An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease 2007
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  8. An expert system approach based on principal component analysis and adaptive neuro fuzzy inference system to diagnosis of diabetes disease 2007
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  9. A New Method Based on Cube Algebra for the Simplification of Logic Functions 2007
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  10. Comparison of deep learning approaches to predict COVID-19 infection 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    Özet henüz yok.

  11. Coronavirus disease (COVID-19) cases analysis using machine-learning applications 2021
    YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  12. A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine 2008
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    Özet henüz yok.

Akademisyenler

142 akademisyen