Detecting Non-Alcoholic Fatty Liver Disease (NAFLD) using Clinical Reports

Non-Alcoholic Fatty Liver Disease (NAFLD) is a prevalent liver condition that necessi- tates accurate and non-invasive diagnostic approaches for effective treatment. This research addresses the challenges associated with present invasive procedures, such as liver biopsies, and proposes a novel diagnostic tool. Inspired by the limitations of existing methods, our project focuses on revolutionizing routine check-ups for middle-aged individuals at risk of NAFLD. Instead of traditional invasive biopsies, our diagnostic tool recommends a blood test, ensuring accurate identification and timely intervention. The conventional diagnostic methods for NAFLD involve imaging and invasive procedures, leading to accessibility and accuracy issues. In response, our user-friendly web application utilizes standard blood test findings to provide a quick and painless NAFLD diagnosis. This approach aims to create an affordable, easily accessible tool that minimizes patient discomfort. Leveraging a dataset of 3,237 individuals from NHANES III, our model achieves an outstanding accuracy rate of 89%. The dataset includes both NAFLD-positive and NAFLD-negative cases, ensur- ing a robust and representative model. In summary, this work makes significant strides in developing a blood-based, non-invasive method that enhances accessibility to NAFLD diagnostics through a user-friendly web application. The proposed tool offers a convenient option for patients and equips healthcare providers with an effective NAFLD diagnostic tool, fostering better patient care outcomes through early detection and intervention.