Prediction of primary Hypertension in Primary Health Care Settings in Coastal Karnataka Using Artificial Neural Network.

Background: Hypertension, characterized by chronically elevated blood pressure, poses a significant global health burden. Its prevalence, a critical public health concern, necessitates ac-curate prediction models for timely intervention and management.

Aim: The proposed approach leverages the capability of an Artificial Neural Network to capture complex patterns and non-linear relationships within the time series data, allowing for the devel-opment of a robust forecasting model to predict Hypertension.