يعرض 1 - 10 نتائج من 14,407 نتيجة بحث عن '"predicts"', وقت الاستعلام: 1.45s تنقيح النتائج
  1. 1
    مؤتمر
    Agrobot: Agricultural Robot using IoT and Machine Learning (ML)

    المؤلفون: Roja Ramani, D, P, Rachna, G, Pavan, Reddy, Rajshekhar, Huzaifa, Mohammad

    المصدر: 2023 3rd International Conference on Smart Data Intelligence (ICSMDI) ICSMDI Smart Data Intelligence (ICSMDI), 2023 3rd International Conference on. :497-500 Mar, 2023

    Relation: 2023 3rd International Conference on Smart Data Intelligence (ICSMDI)

    أضف إلى المفضلة
  2. 2
    مؤتمر
    Predicting Intention of Motion During Rehabilitation Tasks of the Upper-Extremity

    المؤلفون: Natsakis, Tassos, Busoniu, Lucian

    المصدر: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2021 43rd Annual International Conference of the IEEE. :6037-6040 Nov, 2021

    Relation: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

    Full Text Finder
    أضف إلى المفضلة
  3. 3
    مؤتمر
    Skin Cancer Predictor by Image Processing using Big Data Techniques

    المؤلفون: Peneti, P. Subhashini, Sri, A. Ramya, Krishna, U. Mohan Gopi, Alekhya, M., Manikandhara, G.

    المصدر: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) Intelligent Computing and Control Systems (ICICCS), 2021 5th International Conference on. :913-916 May, 2021

    Relation: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)

    أضف إلى المفضلة
  4. 4
    دورية أكاديمية
    LncRNA HOTTIP as a diagnostic biomarker for acute respiratory distress syndrome in patients with sepsis and to predict the short-term clinical outcome: a case-control study

    المؤلفون: Weitao Shi, Wang Zhu, Jiani Yu, Yingjun Shi, Yuliang Zhao

    المصدر: BMC Anesthesiology, Vol 24, Iss 1, Pp 1-13 (2024)

    مصطلحات موضوعية: Sepsis, HOTTIP, ARDS, Diagnostic, Predicts, Anesthesiology, RD78.3-87.3

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1471-2253

    URL الوصول: https://doaj.org/article/6ca53b84b3fb4087b323cd3a455b2116

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  5. 5
    دورية أكاديمية
    Circulating mir-483-5p as a novel diagnostic biomarker for acute coronary syndrome and its predictive value for the clinical outcome after PCI

    المؤلفون: Zhao, YuyingAff1, IDs12872023033875_cor1, Song, Xinxing, Ma, Yanzhuo, Liu, Xiang, Peng, Yuhong

    المصدر: BMC Cardiovascular Disorders. 23(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  6. 6
    دورية أكاديمية
    Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease

    المؤلفون: Kawamura, KokiAff1, IDs12877023041334_cor1, Osawa, Aiko, Tanimoto, Masanori, Kagaya, Hitoshi, Matsuura, Toshihiro, Arai, Hidenori

    المصدر: BMC Geriatrics. 23(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  7. 7
    دورية أكاديمية
    Circulating mir-483-5p as a novel diagnostic biomarker for acute coronary syndrome and its predictive value for the clinical outcome after PCI

    المؤلفون: Yuying Zhao, Xinxing Song, Yanzhuo Ma, Xiang Liu, Yuhong Peng

    المصدر: BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-10 (2023)

    مصطلحات موضوعية: Acute coronary syndrome, miR-483-5p, Major adverse cardiovascular events, Diagnostic, Predicts, Diseases of the circulatory (Cardiovascular) system, RC666-701

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1471-2261

    URL الوصول: https://doaj.org/article/aac842893fcb4fa5866d01cdb60b48e9

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  8. 8
    دورية أكاديمية
    Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease

    المؤلفون: Koki Kawamura, Aiko Osawa, Masanori Tanimoto, Hitoshi Kagaya, Toshihiro Matsuura, Hidenori Arai

    المصدر: BMC Geriatrics, Vol 23, Iss 1, Pp 1-9 (2023)

    مصطلحات موضوعية: COVID-19, Frailty, Predicts discharge, Epidemic, Geriatrics, RC952-954.6

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1471-2318

    URL الوصول: https://doaj.org/article/0a869ff97a1a49b69329f7b3c6893346

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  9. 9
    دورية أكاديمية
    Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer

    المؤلفون: Mingzhe Li, Zidan Zhao, Tsz Kin Mak, Xiaoqun Wang, Jingyao Chen, Hui Ren, Zhiwei Yu, Changhua Zhang

    المصدر: Frontiers in Medicine, Vol 10 (2023)

    مصطلحات موضوعية: neutrophil extracellular traps, NETs-related signature, immune therapy, NETs-related signature predicts the prognosis, gastric cancer, Medicine (General), R5-920

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fmed.2023.1174764/full; https://doaj.org/toc/2296-858X

    URL الوصول: https://doaj.org/article/b2cb532298b14f1e8f8086a1c76b6c48

    Full Text Finder
    أضف إلى المفضلة
  10. 10
    دورية أكاديمية
    LncRNA HOTTIP as a diagnostic biomarker for acute respiratory distress syndrome in patients with sepsis and to predict the short-term clinical outcome: a case-control study

    المؤلفون: Shi, Weitao, Zhu, Wang, Yu, Jiani, Shi, Yingjun, Zhao, YuliangAff1, IDs1287102402405z_cor5

    المصدر: BMC Anesthesiology. 24(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء