Special Issue on Combined Strategy Model for Detection of Heart Attack

Submission Deadline: Jan. 10, 2020

Please click the link to know more about Manuscript Preparation: http://www.sejournal.net/submission

This special issue currently is open for paper submission and guest editor application.

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Maysam Toghraee
      Science and Research, Islamic Azad University, Yasouj, Tehran, Iran
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Marzieh Bahrami
      Islamic Azad University, Qazvin, Tehran, Iran
    • Mohammad Esmaeili
      Science and Research,Islamic Azad University, Ardabil, Tehran, Iran
  • Introduction

    With the advent of the Internet of Things (IoT), we will see exciting advances in the 21st century. Although IoT is often associated with products, warehousing and future smart factories, these are not limited to, and there are significant advances in healthcare, including: 1. Reducing waiting times for a laboratory room. 2. Health from Remote monitoring and monitoring 3. Ensuring access and accessibility of critical hardware 4. Tracking staff, patients and inventory 5. Advanced medical management 6. Countering chronic illnesses. Purpose: Designing an Intelligent System for Detection of Myocardial Infarction Based on Internet Technology. Suggested methods: First, the combination of the theory and proposed model markov model and the status of the research through the review of articles on the Internet technology of objects, intelligent systems for the diagnosis of heart attacks. Then perform a spatial study through a blood dataset, features related to heart attacks, and sample specimens of patients with vascular disease and other methods including the diagnosis and treatment in hospitals, laboratory processes, CCU processes and system function medical information. Finally, according to the results of the research, using MATLAB software engineering method to complete the design of the intelligent system for cardiac diagnosis. Results: Based on intelligent systems close to wireless field communication technology and internal navigation technology, various business processes, performance design, interface design and hardware and software environment support analysis are completed. Conclusion: Intelligent medical information system based on Internet technology of objects can greatly reduce the course of patients' treatment, improve patient efficacy and the effectiveness of doctor management for the diagnosis of heart attacks in patients, and further promote the development of smart medical treatment.

    Aims and Scope:

    1. Internet of Things
    2. Theory Game Model
    3. Markov Model
    4. Intelligent Medical System
    5. Doctors Management
    6. Detection of heart attacks

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.sejournal.net/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.