Intelligent data analysis: the best approach for chronic heart failure (CHF) follow up management.
OBJECTIVE
Intelligent data analysis has ability to prepare and present complex relations between symptoms and diseases, medical and treatment consequences and definitely has significant role in improving follow-up management of chronic heart failure (CHF) patients, increasing speed ​​and accuracy in diagnosis and treatments; reducing costs, designing and implementation of clinical guidelines.


OBJECTIVE
The aim of this article is to describe intelligent data analysis methods in order to improve patient monitoring in follow and treatment of chronic heart failure patients as the best approach for CHF follow up management.


METHODS
Minimum data set (MDS) requirements for monitoring and follow up of CHF patient designed in checklist with six main parts. All CHF patients that discharged in 2013 from Tehran heart center have been selected. The MDS for monitoring CHF patient status were collected during 5 months in three different times of follow up. Gathered data was imported in RAPIDMINER 5 software.


RESULTS
Modeling was based on decision trees methods such as C4.5, CHAID, ID3 and k-Nearest Neighbors algorithm (K-NN) with k=1. Final analysis was based on voting method. Decision trees and K-NN evaluate according to Cross-Validation.


CONCLUSIONS
Creating and using standard terminologies and databases consistent with these terminologies help to meet the challenges related to data collection from various places and data application in intelligent data analysis. It should be noted that intelligent analysis of health data and intelligent system can never replace cardiologists. It can only act as a helpful tool for the cardiologist's decisions making.
Health Information Management, Tehran University of Medical Sciences. Tehran, Iran.
Niloofar
N
Mohammadzadeh
Health Information Management Department, Health Information Management Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Reza
R
Safdari
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Alireza
A
Baraani
Shahabe Danesh University, Iran.
Farshid
F
Mohammadzadeh
Data Analysis; Follow Up Study; Heart Failure