@inproceedings{6bcb0146e4814b2586d565a374e27f04,
title = "A clinical decision support system based on an unobtrusive mobile app",
abstract = "Clinical decision support systems typically rely on medical records and information collected in the doctor's office. We propose a clinical decision support system that uses data collected from patients continuously and in an unobtrusive manner. The system uses data collected from a mobile app installed on the patient's device (such as a mobile phone, smart-watch etc). The app collects data without user interference and combines it with conventional medical records. Our system uses machine learning methods to extract meaningful insights from the data. The output from the learning process is then presented to the doctor in a clear and meaningful fashion on a web based platform. This system can be used to assist effective treatment selection, enable early diagnosis, trigger alarms in case of an emergency and provide a tool for disease monitoring. We describe our clinical decision support system and directions for future work.",
keywords = "Cardiovascular Disease, Clinical Decision Support System (CDSS), Digital Health, Digital Monitoring, Medical Decision Support System (MDSS), Mobile Health, Silent Disease",
author = "Ariella Richardson and Avigail Perl and Sapir Natan and Gil Segev",
note = "Publisher Copyright: Copyright {\textcopyright} 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved; 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019 ; Conference date: 02-05-2019 Through 04-05-2019",
year = "2019",
doi = "10.5220/0007587001670173",
language = "الإنجليزيّة",
series = "ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health",
pages = "167--173",
editor = "Martina Ziefle and Leszek Maciaszek",
booktitle = "ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health",
}
