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OpenAlex konusu

Machine Learning in Healthcare

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

OpenAlex 1.223 eser 16 yazar konusu

Çalışmalar

1.223 eser

  1. 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…

  2. A review of Explainable Artificial Intelligence in healthcare 2024
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    Explainable Artificial Intelligence (XAI) encompasses the strategies and methodologies used in constructing AI systems that enable end-users to comprehend and interpret the outputs and predictions made by AI models. The increasing deployment of opaque AI applications in high-stakes fields, particularly healthcare, has…

  3. A review of Explainable Artificial Intelligence in healthcare 2024
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    Explainable Artificial Intelligence (XAI) encompasses the strategies and methodologies used in constructing AI systems that enable end-users to comprehend and interpret the outputs and predictions made by AI models. The increasing deployment of opaque AI applications in high-stakes fields, particularly healthcare, has…

  4. Comparison of deep learning approaches to predict COVID-19 infection 2020
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  5. Comparison of deep learning approaches to predict COVID-19 infection 2020
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  6. A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization 2020
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  7. A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization 2020
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  8. Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service 2024
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  9. Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence 2023
    OpenAlex üst %1 OpenAlex 99.9%

    Importance: Electroencephalograms (EEGs) are a fundamental evaluation in neurology but require special expertise unavailable in many regions of the world. Artificial intelligence (AI) has a potential for addressing these unmet needs. Previous AI models address only limited aspects of EEG interpretation such as disting…

  10. A Decision Support System for Diabetes Prediction Using Machine Learning and Deep Learning Techniques 2019
    OpenAlex üst %1 OpenAlex 99.7%

    With the continuing increase in the number of the deadly diseases that threaten both human health and life, medical Decision Support Systems (DSS) continue to prove their effectiveness in providing physicians and other healthcare professionals with support in clinical decision making. Among these dangerous diseases, d…

  11. Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology 2018
    OpenAlex üst %10 OpenAlex 98.8%

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  12. A deep feature-based real-time system for Alzheimer disease stage detection 2020
    OpenAlex üst %10 OpenAlex 97.3%

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Akademisyenler

16 akademisyen