IoT-driven predictive healthcare system for proactive treatment and improved patient management.

The convergence of machine learning (ML) and the Internet of Things (IoT) has opened up new possibilities in healthcare, enabling the development of intelligent systems that can transform patient care. This paper presents an integrated healthcare system that harnesses the power of ML and IoT to deliver advanced medical technologies for accurate diagnosis and timely treatment. By integrating various sensors monitoring vital signs like heartbeat conditions, respiratory count, and temperature, real-time patient data is collected and transmitted to a server for storage. The collected data is then converted into readable signals using Arduino microcontrollers. In this paper, we propose the incorporation of predictive analytics, a machine learning technique, into the existing system. By analyzing patient data, predictive analytics algorithms can identify patterns, trends, and anomalies in vital signs, enabling early detection of potential health issues. We have used algorithms from Recurrent Neural Networks (RNN) like Support Vector Machine, Decision trees, and RandomForest. This empowers healthcare providers to intervene promptly and provide proactive treatment, ultimately improving patient outcomes [3]. The advent aim of the project would be using cloud servers, doctors can access the patient's condition using laptops or And roid phones, facilitating real-time communication. The integration of predictive analytics enables the system to provide decision support, assisting doctors in making accurate diagnoses and suggesting appropriate treatment plans based on the patient's symptoms, vital signs, and medical history. Furthermore, predictive analytics allows for risk stratification, prioritizing patients who require immediate attention based on their health profiles. By incorporating ML algorithms, specifically predictive analytics, into the IoT-based healthcare system, this paper seeks to improve the overall quality of healthcare services provided. The integration of advanced technologies and real-time communication between patients and doctors opens up new possibilities for enhancing patient care and treatment outcomes. [ABSTRACT FROM AUTHOR]

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