The Symptom Analysis skill is a specialized tool for health-related data processing, designed to formalize raw patient notes or structured dimension data into professional health assessments. By utilizing Bayesian principles to evaluate information gain, it identifies ambiguities, contradictions, and critical information gaps while assessing symptom severity and urgency. It provides a standardized framework for documenting medical history, lifestyle factors, and warning signs, helping users bridge the gap between initial information gathering and informed healthcare decision-making without replacing professional medical diagnosis.
