Symptoms based on Disease prediction

Symptoms based on Disease prediction

Author Name : Y.Revathi, Prof. K. Venkata Ramana

ABSTRACT Disease prediction has emerged as a vital component in modern healthcare, utilizing data-driven approaches to identify potential health issues based on symptoms. This abstract explores the role of symptomatology in predicting diseases, emphasizing the integration of artificial intelligence and machine learning to analyze patient data. By examining patterns in symptoms, researchers can develop predictive models that enhance early diagnosis, improve patient outcomes, and optimize treatment strategies. This approach not only aids healthcare professionals in clinical decision-making but also empowers patients with insights into their health. The study highlights the significance of accurate symptom assessment, the challenges of symptom overlap among diseases, and the future potential of personalized medicine through advanced predictive analytics