A Novel Method of Health Services Website for Myocardial Infarction Prediction in Online Health

Abstract

The current study aims at presenting a model to investigate the feature selection of health services website and its effect on increasing the role of Myocardial Infarction prediction and online health marketing through the case study of the Shahid Rajaee Heart Specialized Hospital, Iran. Considering research objectives, this study is a practical research and regarding the data collection method, it is a descriptive-survey one. The statistical population of this study included all clients of Shahid Rajaee Heart Specialized Hospital. Due to the unlimited and unavailability of the sample, the Cochran formula was used to determine the sample size and 384 people were selected. A questionnaire was distributed among them in a convenient way. Finally, all research hypotheses were confirmed; results showed that visual aesthetics has the most and user friendliness least effect on participation of heart diseases, respectively. In addition, visual aesthetics is an effective and direct stimulator for health marketing on the health services website. Finally, there are some suggestions and solutions to improve and enhance the role of Myocardial Infarction prediction and health marketing in the mentioned hospital.

KEYWORDS:

• Electronic health
• Health services
• Myocardial Infarction prediction

Additional information

Notes on contributors

Hojatollah Hamidi

Hojatollah Hamidi, born 1976, in Dorood, Iran, got his PhD in computer engineering. His main research interest areas are information technology, smart health, mobile learning, and fault-tolerant systems. Since 2013 he has been a faculty member at the K N Toosi University of Technology.