9th International Conference on ICT for Sustainable Development

Authors - Shradha Sahu, Sreerag Rajesh, Sahil Wake, Abhishek Tiwari, Namrata Patel
Abstract - In today's fast-paced world, the demand for an efficient and reliable healthcare decision support system has never been greater. With the increasing prevalence of diseases such as cancer, stroke, and heart disease, there is a critical need for a system that can accurately predict these conditions and provide users with comprehensive healthcare information. Enter the Clinical Decision Support System, a state-of-the-art web application designed to meet this need head-on. Utilizing advanced algorithms, this system offers personalized disease predictions, enhancing the accuracy of healthcare outcomes. An integral component of this system is its AI chatbot, which provides users with immediate access to essential information, including symptoms, causes, treatments, and the nearest healthcare facilities. This innovative tool streamlines the process of acquiring healthcare knowledge, thereby improving the decision-making process for both patients and healthcare providers. The Clinical Decision Support System is more than just a prediction tool; it is a gateway to a wealth of healthcare information and a step towards revolutionizing the healthcare industry. With the potential for future integration with blockchain technology, the system promises enhanced data security and management, further solidifying its position as a critical tool in modern healthcare. This project represents a significant advancement in healthcare technology, offering promising solutions to improve patient care and outcomes.