Paper Title
COGNITIVE COMPUTING FRAMEWORK FOR LIVER HEALTH EVALUATION VIA WEARABLE SENSOR DATA

Abstract
Serum Glutamate Pyruvate Transaminase (SGPT), also known as Alanine Aminotransferase (ALT), is a vital enzyme involved in amino acid metabolism, predominantly found in the liver. Elevated SGPT levels are often indicative of liver damage, commonly seen in conditions such as hepatitis, fatty liver disease, and cirrhosis. Conventional methods of measuring SGPT involve invasive blood sampling, which can be uncomfortable and risky for patients, especially those undergoing repeated tests. However, this study investigates non-invasive methods for estimating SGPT levels by leveraging the data collected from wearable device,we strive to offer users a practical and accessible solution for assessing Liver health and comprehending the nature of their discomfort. Keywords - SGPT, non-invasive diagnostics, liver function, biosensors, diagnostic technology.