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Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection
المؤلفون المشاركون
Liu, Zhuo
Zhang, Gerui
Jingyuan, Zhao
Yu, Liyan
Sheng, Junxiu
Zhang, Na
Yuan, Hong
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-24
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Recently, deep reinforcement learning, associated with medical big data generated and collected from medical Internet of Things, is prospective for computer-aided diagnosis and therapy.
In this paper, we focus on the application value of the second-generation sequencing technology in the diagnosis and treatment of pulmonary infectious diseases with the aid of the deep reinforcement learning.
Specifically, the rapid, comprehensive, and accurate identification of pathogens is a prerequisite for clinicians to choose timely and targeted treatment.
Thus, in this work, we present representative deep reinforcement learning methods that are potential to identify pathogens for lung infection treatment.
After that, current status of pathogenic diagnosis of pulmonary infectious diseases and their main characteristics are summarized.
Furthermore, we analyze the common types of second-generation sequencing technology, which can be used to diagnose lung infection as well.
Finally, we point out the challenges and possible future research directions in integrating deep reinforcement learning with second-generation sequencing technology to diagnose and treat lung infection, which is prospective to accelerate the evolution of smart healthcare with medical Internet of Things and big data.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Zhuo& Zhang, Gerui& Jingyuan, Zhao& Yu, Liyan& Sheng, Junxiu& Zhang, Na…[et al.]. 2020. Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1186244
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Zhuo…[et al.]. Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection. Journal of Healthcare Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1186244
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Zhuo& Zhang, Gerui& Jingyuan, Zhao& Yu, Liyan& Sheng, Junxiu& Zhang, Na…[et al.]. Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1186244
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1186244
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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