SymbiPredict

The Symptom-Disease Prediction Dataset (SDPD) is a comprehensive collection of structured data linking symptoms to various diseases, meticulously curated to facilitate research and development in predictive healthcare analytics. Inspired by the methodology employed by renowned institutions such as the Centers for Disease Control and Prevention (CDC), this dataset aims to provide a reliable foundation for the development of symptom-based disease prediction models. The dataset encompasses a diverse range of symptoms sourced from reputable medical literature, clinical observations, and expert consensus.