Smart Healthcare Solutions Using IoT and Machine Learning for Personalized Treatment
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https://doi.org/10.52783/jns.v14.3594Keywords:
N\AAbstract
This paper explores the integration of Internet of Things (IoT) and Machine Learning (ML) technologies in smart healthcare solutions, focusing on their role in delivering personalized treatment. It discusses how IoT devices, such as wearable sensors and smart medical devices, facilitate continuous patient monitoring and data collection, while ML algorithms analyze this data to offer predictive insights and optimize treatment plans. The paper highlights the potential of these technologies to enhance patient outcomes, improve healthcare delivery, and address challenges such as data privacy and system integration. Additionally, it presents a proposed framework that integrates IoT and ML for real-time personalized healthcare, illustrating how such systems can revolutionize healthcare practices and contribute to more efficient, patient-centered care. Through a comprehensive review of existing literature and an in-depth discussion of system design, challenges, and real-world applications, this paper demonstrates the transformative potential of IoT and ML in shaping the future of healthcare..
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