Articles
| Open Access | AI-BASED HEALTH MONITORING FOR PNEUMONIA PATIENTS
Qobilov Sirojiddin Sherqulovich , Teacher, Tashkent University of Information Technologies named after Muhammad ibn Musa al-Khwarizmi, Tashkent, Uzbekistan Elyor Ismoilov Khayrulla ugli , Student, Tashkent University of Information Technologies named after Muhammad ibn Musa al-Khwarizmi, Tashkent, Uzbekistan Yorkinjon Abdukhalilov Abdurasul ugli , Student, Tashkent University of Information Technologies named after Muhammad ibn Musa al-Khwarizmi, Tashkent, Uzbekistan Sukhrobjon Abdullaev Hayitmurod ugli , Student, Tashkent University of Information Technologies named after Muhammad ibn Musa al-Khwarizmi, Tashkent, Uzbekistan Sardor Ibodov Gulmurodovich , Student, Tashkent University of Information Technologies named after Muhammad ibn Musa al-Khwarizmi, Tashkent, UzbekistanAbstract
Advancements in artificial intelligence (AI) have revolutionized various industries, and healthcare is no exception. In this article, we explore the application of AI-based health monitoring systems for pneumonia patients. Pneumonia remains a significant global health concern, and early detection and continuous monitoring are crucial for effective management and improved patient outcomes. The proposed AI-based health monitoring system utilizes state-of-the-art machine learning algorithms and sensor technologies to continuously collect and analyze vital health data, enabling healthcare providers to promptly identify deteriorations in a patient's condition and intervene accordingly.
Keywords
AI-based health monitoring, pneumonia, machine learning algorithms, real-time data analysis, patient outcomes, predictive analytics, data security, regulatory compliance, healthcare.
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