HDPM-An Effective Heart Disease Prediction Model for a Clinical Decision Support System

Abstract
Heart disease, one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis.

Abstract
Heart disease, one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis.
Abstract
Predicting future blood glucose (BG) level for diabetic patients will help them to avoid critical conditions in the future.
Abstract
Understanding customer shopping behavior in retail store is important to improve the customers' relationship with the retailer, which can help to lift the revenue of the business.
Abstract
Radio Frequency Identification (RFID) technology has significantly improved in the past few years and is presently sought for implementation in the identification and traceability of perishable food in the food sector to safeguard food safety and quality.
Abstract
Early diseases prediction plays an important role for improving healthcare quality and can help individuals avoid dangerous health situations before it is too late.
Abstract
Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in real-time.
Abstract
Purpose
The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS).