Person centered prediction of survival in population based screening program by an intelligent clinical decision support system.
OBJECTIVE
To survey person centered survival rate in population based screening program by an intelligent clinical decision support system.


BACKGROUND
Colorectal cancer is the most common malignancy and major cause of morbidity and mortality throughout the world. Colorectal cancer is the sixth leading cause of cancer death in Iran. In this survey, we used cosine similarity as data mining technique and intelligent system for estimating survival of at risk groups in the screening plan.


METHODS
In the first step, we determined minimum data set (MDS). MDS was approved by experts and reviewing literatures. In the second step, MDS were coded by python language and matched with cosine similarity formula. Finally, survival rate by percent was illustrated in the user interface of national intelligent system. The national intelligent system was designed in PyCharm environment.


RESULTS
Main data elements of intelligent system consist demographic information, age, referral type, risk group, recommendation and survival rate. Minimum data set related to survival comprise of clinical status, past medical history and socio-demographic information. Information of the covered population as a comprehensive database was connected to intelligent system and survival rate estimated for each patient. Mean range of survival of HNPCC patients and FAP patients were respectively 77.7% and 75.1%. Also, the mean range of the survival rate and other calculations have changed with the entry of new patients in the CRC registry by real-time.


CONCLUSIONS
National intelligent system monitors the entire of risk group and reports survival rates by electronic guidelines and data mining technique and also operates according to the clinical process. This web base software has a critical role in the estimation survival rate in order to health care planning.
Allied Medical Sciences School, Tehran University of Medical Sciences, Tehran, Iran.
Reza
R
Safdari
School of Management and Medical informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Elham
E
Maserat
Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Tehran, Iran.
Hamid
H
Asadzadeh Aghdaei
Islamic Azad University.
Amir Hossein
AH
Javan Amoli
Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Science, Tehran, Iran.
Hamid
H
Mohaghegh Shalmani
Colorectal Cancer; Decision support system; Screening; Survival rate