Problem Statement
Manual analysis of vast amounts of medical records for detecting disease
patterns can be time-consuming and error-prone. An automated solution
leveraging AI is needed to analyze medical records efficiently and identify
relevant patterns.
Abstract
This project aims to implement an automated system for the analysis of medical
records to identify disease patterns. Using machine learning algorithms, the
system will analyze patterns in patient data to detect potential disease
correlations, aiding healthcare professionals in early diagnosis and treatment
planning.
Outcome
An efficient and accurate automated analysis system for medical records,
providing healthcare professionals with valuable insights into disease patterns
for improved patient care.