Sustainable AI and LLM Approach for Unveiling Heart Disease Insights with Data Science

Heart disease is one of the leading causes for deaths nowadays, affecting millions of different cardiovascular diseases. Despite significant advances in medical research, early diagnosis of heart disease and personalized treatment strategies remain challenged. This proposal examines how sustainable AI and largescale language models (LLM) can be used to gain valuable insights into heart disease through data science. This proposal uses advanced AI technology to analyze and predict cardiac disease risks and outcomes using a variety of data sources, including medical records, portable device data, genetic information, and patient research. This model highlights the development of ethical AI and minimizes environmental impacts and accessibility and affordable guarantees. The proposal aims to create innovative tools that improve cardiac disease management and improve patient care using cloud-based solutions and generator AI. This proposal is delivered in real time quickly, securely and in real time. Continuous evaluation and improvement. This model ensure that it remains accurate and impartial.