Disease forecasting and patient monitoring: The great role of medical data analytics

the rapid advancement of new information technologies, such as mobile apps, cloud computing, and big data analytics, has significantly impacted various industries, with healthcare being a notable example. In healthcare, these technologies have become essential tools for delivering high- quality services. Specifically, the explosion of medical data sources, the integration of sensor technology, data analysis, and the application of data mining and machine learning techniques have the potential to bring about transformative changes in healthcare.In light of the exponential growth in medical data, it is evident that a transformative shift, often referred to as a revolution, is underway within the healthcare sector. This transformation underscores the imperative of harnessing emerging technologies to enhance the medical field. This paper aims to present a comprehensive architectural design that seamlessly amalgamates the power of big data analytics, machine learning, and mobile healthcare for self-monitoring. Through this exposition, we intend to underscore the paramount significance of applying predictive analytics techniques within medical platforms. The envisioned system will adeptly harness healthcare data, employing intelligent process analysis and extensive big data processing to glean invaluable insights for informed decision-making, ultimately ensuring superior real-time medical monitoring.