eMedicalHelp:  A customized medical diagnostic application: Is a single questionnaire enough to measure stress?

Hedieh Ranjbartabar; Amir Maddah; Manolya Kavakli

doi:10.1109/ICIS.2015.7166621

eMedicalHelp: A customized medical diagnostic application: Is a single questionnaire enough to measure stress?

Hedieh Ranjbartabar, Amir Maddah, Manolya Kavakli

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Mobile applications provide variety of services to their users and a group of them offer medical related services. Our initial research has revealed that a majority of the current mobile applications is not based on appropriate diagnostics. Most current applications offer similar basic solutions and treatment to their users without conducting a comprehensive analysis on users' special conditions. The aim of this paper is to propose a system architecture for mobile e-health applications that uses customized medical questionnaires to diagnose the illness of the user before offering any method of treatments. After diagnosis the application suggests the appropriate treatment options based on the medical condition. After reviewing a number of e-health applications, we list the features of the application. As a proof of concept for the proposed solution, two case studies are provided. 10 students were asked to participate in a two-month testing period. After the testing period, we confirmed the results of the application with a certified practitioner. The application was able to correctly predict and diagnose illnesses of the participants. Our findings also indicate that a single questionnaire may be sufficient to measure stress and provide timely advice.

Original language	English
Title of host publication	2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings
Editors	Takayuki Ito, Yanggon Kim, Naoki Fukuta
Publisher	IEEE
Pages	367-372
Number of pages	6
ISBN (Electronic)	9781479986798
DOIs	https://doi.org/10.1109/ICIS.2015.7166621
Publication status	Published - 24 Jul 2015
Event	14th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2015 - Las Vegas, United States Duration: 28 Jun 2015 → 1 Jul 2015

Publication series

Name	2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings

Conference

Conference	14th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2015
Country/Territory	United States
City	Las Vegas
Period	28/06/15 → 1/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Health care
Mobile Applications
Software Engineering
Web services

Access to Document

10.1109/ICIS.2015.7166621

Cite this

Ranjbartabar, H., Maddah, A., & Kavakli, M. (2015). eMedicalHelp: A customized medical diagnostic application: Is a single questionnaire enough to measure stress? In T. Ito, Y. Kim, & N. Fukuta (Eds.), 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings (pp. 367-372). Article 7166621 (2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings). IEEE. https://doi.org/10.1109/ICIS.2015.7166621

Ranjbartabar, Hedieh ; Maddah, Amir ; Kavakli, Manolya. / eMedicalHelp : A customized medical diagnostic application: Is a single questionnaire enough to measure stress?. 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings. editor / Takayuki Ito ; Yanggon Kim ; Naoki Fukuta. IEEE, 2015. pp. 367-372 (2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings).

@inproceedings{dc78d7a720724faf9e9f84ab0e8bab43,

title = "eMedicalHelp: A customized medical diagnostic application: Is a single questionnaire enough to measure stress?",

abstract = "Mobile applications provide variety of services to their users and a group of them offer medical related services. Our initial research has revealed that a majority of the current mobile applications is not based on appropriate diagnostics. Most current applications offer similar basic solutions and treatment to their users without conducting a comprehensive analysis on users' special conditions. The aim of this paper is to propose a system architecture for mobile e-health applications that uses customized medical questionnaires to diagnose the illness of the user before offering any method of treatments. After diagnosis the application suggests the appropriate treatment options based on the medical condition. After reviewing a number of e-health applications, we list the features of the application. As a proof of concept for the proposed solution, two case studies are provided. 10 students were asked to participate in a two-month testing period. After the testing period, we confirmed the results of the application with a certified practitioner. The application was able to correctly predict and diagnose illnesses of the participants. Our findings also indicate that a single questionnaire may be sufficient to measure stress and provide timely advice.",

keywords = "Health care, Mobile Applications, Software Engineering, Web services",

author = "Hedieh Ranjbartabar and Amir Maddah and Manolya Kavakli",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 14th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2015 ; Conference date: 28-06-2015 Through 01-07-2015",

year = "2015",

month = jul,

day = "24",

doi = "10.1109/ICIS.2015.7166621",

language = "English",

series = "2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings",

publisher = "IEEE",

pages = "367--372",

editor = "Takayuki Ito and Yanggon Kim and Naoki Fukuta",

booktitle = "2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings",

address = "United States",

}

Ranjbartabar, H, Maddah, A & Kavakli, M 2015, eMedicalHelp: A customized medical diagnostic application: Is a single questionnaire enough to measure stress? in T Ito, Y Kim & N Fukuta (eds), 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings., 7166621, 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings, IEEE, pp. 367-372, 14th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2015, Las Vegas, United States, 28/06/15. https://doi.org/10.1109/ICIS.2015.7166621

eMedicalHelp: A customized medical diagnostic application: Is a single questionnaire enough to measure stress? / Ranjbartabar, Hedieh; Maddah, Amir; Kavakli, Manolya.
2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings. ed. / Takayuki Ito; Yanggon Kim; Naoki Fukuta. IEEE, 2015. p. 367-372 7166621 (2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - eMedicalHelp

T2 - 14th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2015

AU - Ranjbartabar, Hedieh

AU - Maddah, Amir

AU - Kavakli, Manolya

PY - 2015/7/24

Y1 - 2015/7/24

N2 - Mobile applications provide variety of services to their users and a group of them offer medical related services. Our initial research has revealed that a majority of the current mobile applications is not based on appropriate diagnostics. Most current applications offer similar basic solutions and treatment to their users without conducting a comprehensive analysis on users' special conditions. The aim of this paper is to propose a system architecture for mobile e-health applications that uses customized medical questionnaires to diagnose the illness of the user before offering any method of treatments. After diagnosis the application suggests the appropriate treatment options based on the medical condition. After reviewing a number of e-health applications, we list the features of the application. As a proof of concept for the proposed solution, two case studies are provided. 10 students were asked to participate in a two-month testing period. After the testing period, we confirmed the results of the application with a certified practitioner. The application was able to correctly predict and diagnose illnesses of the participants. Our findings also indicate that a single questionnaire may be sufficient to measure stress and provide timely advice.

AB - Mobile applications provide variety of services to their users and a group of them offer medical related services. Our initial research has revealed that a majority of the current mobile applications is not based on appropriate diagnostics. Most current applications offer similar basic solutions and treatment to their users without conducting a comprehensive analysis on users' special conditions. The aim of this paper is to propose a system architecture for mobile e-health applications that uses customized medical questionnaires to diagnose the illness of the user before offering any method of treatments. After diagnosis the application suggests the appropriate treatment options based on the medical condition. After reviewing a number of e-health applications, we list the features of the application. As a proof of concept for the proposed solution, two case studies are provided. 10 students were asked to participate in a two-month testing period. After the testing period, we confirmed the results of the application with a certified practitioner. The application was able to correctly predict and diagnose illnesses of the participants. Our findings also indicate that a single questionnaire may be sufficient to measure stress and provide timely advice.

KW - Health care

KW - Mobile Applications

KW - Software Engineering

KW - Web services

UR - http://www.scopus.com/inward/record.url?scp=84945246289&partnerID=8YFLogxK

U2 - 10.1109/ICIS.2015.7166621

DO - 10.1109/ICIS.2015.7166621

M3 - Conference publication

AN - SCOPUS:84945246289

T3 - 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings

SP - 367

EP - 372

BT - 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings

A2 - Ito, Takayuki

A2 - Kim, Yanggon

A2 - Fukuta, Naoki

PB - IEEE

Y2 - 28 June 2015 through 1 July 2015

ER -

Ranjbartabar H, Maddah A, Kavakli M. eMedicalHelp: A customized medical diagnostic application: Is a single questionnaire enough to measure stress? In Ito T, Kim Y, Fukuta N, editors, 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings. IEEE. 2015. p. 367-372. 7166621. (2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings). doi: 10.1109/ICIS.2015.7166621