This study presents an innovative approach in healthcare that applies clustering techniques to the identification of patient phenotypes, or medically relevant groups such as diseases and conditions. While many phenotypes are known from established medical knowledge, the researchers highlight that numerous unknown phenotypes and subtypes likely remain unexplored. By clustering patient data, their work aims to reveal these hidden patterns and expand our understanding of patient health.
