@conference {Idri2017262,
	title = {ISO/IEC 25010 Based Evaluation of Free Mobile Personal Health Records for Pregnancy Monitoring},
	booktitle = {Proceedings - International Computer Software and Applications Conference},
	volume = {1},
	year = {2017},
	note = {cited By 0},
	pages = {262-267},
	abstract = {Background: Mobile Personal Health Records (mPHRs) are mobile applications that allow organizing and saving the patients{\textquoteright} health data in order to ease their management and access for both patients and doctors. Objective: This study aims to evaluate, based on ISO/IEC 25010 quality standard, the software quality of mPHRs for pregnancy monitoring. Method: An External quality evaluation was carried out on 17 pregnancy monitoring mPHRs for iOS and Android. The evaluation consisted of performing a set of tasks and filling in a quality assessment questionnaire that covers the four External quality characteristics: Functional suitability, Operability, Performance efficiency and Reliability. Moreover, 14 mPHRs for pregnancy monitoring were used to study the relationship between the External quality and the Quality in-use by means of four classification techniques: Iterative Dichotomiser 3 (ID3), C4.5, K-nearest neighbors (K-NN) and Na{\"\i}ve Bayes. Results: Functional suitability and Reliability are the most covered quality characteristics by the 17 apps compared to Operability and Performance efficiency. Furthermore, K-NN and C4.5 obtained the highest accuracy rates, as evaluating the accuracy rate of each classification technique can determine if a classifier can be designed to predict the Quality in-use from the External Quality for the apps used in this study. Conclusion: The need of studying the relationship between fulfilling the External quality and the Quality in-use for pregnancy monitoring mPHRs, is of great importance for the developers of these apps for future improvements. {\textcopyright} 2017 IEEE.},
	doi = {10.1109/COMPSAC.2017.159},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031943834\&doi=10.1109\%2fCOMPSAC.2017.159\&partnerID=40\&md5=33e58a2940bb96d4a2c3c7a272a519e5},
	author = {Idri, A. and Bachiri, M. and Fernandez-Aleman, J.L. and Toval, A.}
}
