M Sadr Bafghi , O Beiki Bondar Abadi , M Rafiei , Mh Soltani , M Emami, M Moradi , F Hosseini,
Volume 15, Issue 1 (4-2007)
Abstract
Introduction: The Clinical and Paraclinical Characteristics of patients with congestive heart failure (CHF) have been described by a number of previous studies, but very little information is available on this issue in Iran. This study aimed to delineate the clinical and paraclinical characteristics of Iranian patients hospitalized with CHF.
Methods: During an observational, analytical, descriptive, cross-sectional study, 258 consecutive patients were interviewed and examined at 5 hospitals in Yazd, Iran from January to December 1999.Questionnaire comprised of information regarding etiology, signs, symptoms, paraclinical data, etc. Results were analyzed by SPSS9.01 and EPI6 programs using ANOVA, Chi-Square and T-TEST and reported as Mean ± SD.
Results: The study population had a high mean age (67.59 ± 0.73), 0.8% were less than 35 years old and 70.80% were older than 65 years. Mortality rate due to heart failure was 7.5%. Major causes of CHF were ischemia (65.1%), valvular lesions (5.8%), cardiomyopathy (5%) and hypertensive heart diseases (4.6%). Mean number of hospitalizations per year was 2.2 ± 0.1, while mean hospitalization time was 7.25 ± 3.8 days and mean cost was 1122439 ± 89874.8 rials.
Conclusion: Even though many background and aggravating factors of heart failure are preventable, this disease incurs a lot of expenditure on our country’s health system. Therefore, there is a requirement for programming and research in the fields of education, treatment and prevention of this disease for all members of the community.
Seyed Mohammad Reza Tabatabaei, Fatemeh Saadatjoo, Phd Masoud Mirzaei,
Volume 27, Issue 3 (7-2019)
Abstract
Introdution: Ischemic heart disease is one of the most common diseases, which has led to high mortality rates all over the world. This disease is caused by narrowing or blockage of coronary arteries, which are the provider of blood to the heart. Identifying the people susceptible to this disease and bringing changes in their lifestyles has been said to reduce the related mortality rates and increase the patient's longevity.
Methods: Yazd people Health Study (YaHS) was conducted on a random sample of 10,000 people living in the city of Yazd, Iran in the years 2014-15 for a general health and disease survey. These data were first balanced by bootstrapping technique due to their unbalanced nature. Next, classification methods were used in the training phase. Various classifiers, such as artificial neural network, rule inducer, regression, and AdaBoost were used in order to evaluate the proposed method with two scenarios.
Results: The results showed that the screening of the people susceptible to ischemic heart disease had the most significant effect on increasing the sensitivity of the discovery classifier of CN2 subgroup through using balanced data by bootstrapping method followed by their analysis for the purpose of producing a sample of the patients. This classifier proved to have the potential for detecting 83.6% of the people susceptible to this disease.
Conclusion: Therefore, it can be concluded that data mining methods are effective in screening for susceptible people with ischemic heart disease. This method can be compared with other traditional screening methods in that it is more cost-effective and faster.
