The Patient Case Similarity project is designed to analyze Electronic Health Record (EHR) data using advanced machine learning techniques. This software aims to assist clinicians and researchers in identifying patterns and similarities across patient cases, ultimately enhancing patient care and supporting clinical decision-making.