loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Muhammad Abubakar 1 ; Amina Bibi 1 ; Rashad Hussain 1 ; Zohra Bibi 1 ; Asma Gul 2 ; Zahid Bashir 2 ; Salman Noshear Arshad 1 ; Momin Ayub Uppal 1 and Safee Ullah Chaudhary 1

Affiliations: 1 Lahore University of Management Sciences, Pakistan ; 2 Shalamar Institute of Health Sciences, Pakistan

ISBN: 978-989-758-170-0

Keyword(s): Antenatal Care, Mobile Health, Smartphone Health Monitoring, Decision Support Systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Business Analytics ; Cardiovascular Technologies ; Cloud Computing ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Devices ; Distributed and Mobile Software Systems ; e-Health ; Health Engineering and Technology Applications ; Health Information Systems ; Healthcare Management Systems ; Human-Computer Interaction ; Knowledge-Based Systems ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Physiological Computing Systems ; Platforms and Applications ; Software Engineering ; Symbolic Systems ; Wearable Sensors and Systems

Abstract: The provision of Antenatal Care (ANC) for pregnant women plays a vital role in ensuring infant and maternal health. Limited access to antenatal care in Low and Middle Income Countries (LMIC) results in high Infant and Maternal Mortality Rate (IMR and MMR, respectively). In this work, we propose a cloud-based clinical Decision Support System (DSS) integrated with a wearable health-sensor network for patient self-diagnosis and real time health monitoring. Patient assessment is performed by evaluating the human-input coupled with sensor-generated symptomatic information using a Bayesian network driven DSS. High risk pregnancies can be identified and monitored along with dispensing of consultant advice directly to the patient. Patient and disease incidence data is stored on the cloud for tuning probabilities of the Bayesian network towards improving accuracy of predicting anomalies within the epidemiological context. The system therefore, aims to control IMR and MMR by providing ubiquitou s access to ANC in LMICs. A scaled-up implementation of the proposed system can help reduce patient influx at the limited tertiary care centers by referring low-risk cases to primary or secondary care establishments. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.170.81.210

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Abubakar, M.; Bibi, A.; Hussain, R.; Bibi, Z.; Gul, A.; Bashir, Z.; Arshad, S.; Uppal, M. and Chaudhary, S. (2016). Towards Providing Full Spectrum Antenatal Health Care in Low and Middle Income Countries.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 478-483. DOI: 10.5220/0005823104780483

@conference{healthinf16,
author={Muhammad Abubakar. and Amina Bibi. and Rashad Hussain. and Zohra Bibi. and Asma Gul. and Zahid Bashir. and Salman Noshear Arshad. and Momin Ayub Uppal. and Safee Ullah Chaudhary.},
title={Towards Providing Full Spectrum Antenatal Health Care in Low and Middle Income Countries},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={478-483},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005823104780483},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (BIOSTEC 2016)
TI - Towards Providing Full Spectrum Antenatal Health Care in Low and Middle Income Countries
SN - 978-989-758-170-0
AU - Abubakar, M.
AU - Bibi, A.
AU - Hussain, R.
AU - Bibi, Z.
AU - Gul, A.
AU - Bashir, Z.
AU - Arshad, S.
AU - Uppal, M.
AU - Chaudhary, S.
PY - 2016
SP - 478
EP - 483
DO - 10.5220/0005823104780483

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.