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Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application [chapter]

Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Silvana Quaglini, Lucia Sacchi, Nick Fung, Valerie Jones, Tom Broens, Gema García-Sáez, Elena Hernando
2015 Lecture Notes in Business Information Processing  
We introduce the need for a distributed guideline-based decision support (DSS) process, describe its characteristics, and explain how we implemented this process within the European Union's MobiGuide project  ...  We suggest that such a distributed architecture that explicitly defines a dialog between a central DSS server and a local DSS module, better balances the computational load and exploits the relative advantages  ...  Introduction -the need for distributed decision support Traditional guideline-based decision-support systems (DSS) mainly target physicians at the point of care.  ... 
doi:10.1007/978-3-319-15895-2_5 fatcat:wsqj6pwifvhuzglbthji5ku6nu

Implementation of a Distributed Guideline-Based Decision Support Model Within a Patient-Guidance Framework [chapter]

Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Moshe Sheinberger, Nick Fung, Val Jones, Boris van Schooten
2015 Lecture Notes in Computer Science  
We report on new projection engine which was developed in order to implement a distributed guideline-based decision support system (DSS) within the European project MobiGuide.In this model, small portions  ...  'downloaded', from a central DSS server to a local DSS in the patient's mobile device, which then applies that knowledge using the mobile device's local resources.  ...  Introduction The need for distributed decision support Clinical Guidelines (GLs) are a well-established method for enhancing the quality of care and for reducing costs [1] .  ... 
doi:10.1007/978-3-319-26585-8_8 fatcat:oaqhcs4qhje53bquwj2chjczey

Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes

Gema García-Sáez, Mercedes Rigla, Iñaki Martínez-Sarriegui, Erez Shalom, Mor Peleg, Tom Broens, Belén Pons, Estefanía Caballero-Ruíz, Enrique J. Gómez, M. Elena Hernando
2014 Journal of Diabetes Science and Technology  
Results We identified several workflows that provide decision-support functionalities to patients and four types of personalized advices to be delivered through a mobile application at home, which is a  ...  The patient's access to the system is supported by a Smartphone-based application that enhances the efficiency and ease of use of the system.  ...  Results We identified several workflows that provide decision-support functionalities to patients and four types of personalized advices to be delivered through a mobile application at home, which is a  ... 
doi:10.1177/1932296814526492 pmid:24876573 pmcid:PMC4455422 fatcat:rhhmosj2lra6xp3wzpgijxfuce

A Real-time Framework for Patient Monitoring Systems based on a Wireless Body Area Network

Nora Mahmoud, Shaker El-Sappagh, Samir M., Hazem M.
2020 International Journal of Computer Applications  
The wireless body area network (WBAN), cloud computing, fog computing, semantic ontology, and clinical decision support system (CDSS) are integrated to provide a comprehensive and complete model.  ...  By monitoring a person with chronic diseases in real time, physicians will have the ability to guide patients with the right decisions. In addition, patients can practice normal life.  ...  Cloud computing (CC) along with WSN provide promising monitoring systems that enhance QoS.  ... 
doi:10.5120/ijca2020920274 fatcat:5qcrs33navealkuecunhg7ci6e

Advances in Sharing Multi-sourced Health Data on Decision Support Science 2016-2017

Nick Anderson, Prabhu Shankar
2018 IMIA Yearbook of Medical Informatics  
However, the availability of patient-related "Big Data" sources from genomics and mobile health, expanded privacy considerations, applications of service-based computational techniques and tools, the emergence  ...  Clinical decision support science is expanding to include integration from broader and more varied data sources, diverse platforms and delivery modalities, and is responding to emerging regulatory guidelines  ...  Acknowledgments This work was supported in part by NCATS grant UL1TR001860 from the National Institutes of Health (USA).  ... 
doi:10.1055/s-0038-1641215 pmid:30157504 fatcat:4vekturoffhp7jdvbc7osqynyu

Deep Learning at the Mobile Edge: Opportunities for 5G Networks

Miranda McClellan, Cristina Cervelló-Pastor, Sebastià Sallent
2020 Applied Sciences  
Together, mobile edge computing and ML enable seamless automation of network management to reduce operational costs and enhance user experience.  ...  Machine Learning (ML) is leveraged within mobile edge computing to predict changes in demand based on cultural events, natural disasters, or daily commute patterns, and it prepares the network by automatically  ...  Enhanced mobile broadband (eMBB) will support general consumers applications, such as video streaming, browsing, and cloud-based gaming. 2.  ... 
doi:10.3390/app10144735 fatcat:ytrnh35x6zbxbki3zg435xqacu

ECC: Edge Cloud Composites

Ketan Bhardwaj, Sreenidhy Sreepathy, Ada Gavrilovska, Karsten Schwan
2014 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering  
The goal of our research is to permit end user applications to take advantage of dynamically available, local and remote computational infrastructure, without requiring applications to be explicitly rewritten  ...  With an ever increasing number of networked devices used in mobile settings, or residing in homes, offices, and elsewhere, there is a plethora of potential computational infrastructure available for providing  ...  Performance based decisions -not sufficient.  ... 
doi:10.1109/mobilecloud.2014.18 dblp:conf/mobilecloud/BhardwajSGS14 fatcat:txrmtv42azafhlpqnye6hriwzi

D2.1 Scenario description and initial requirements

DEDICAT 6G Consortium
2021 Zenodo  
Enhanced experiences: It provides live streaming applications that use enhanced data overlay in 360° and augmented reality (AR) applications as well as more complex datasets in virtual reality (VR) with  ...  This use case is focused on distributed intelligence, comput [...]  ...  Mobile app to be developed to support smart warehousing use case. It will be the main interface through which end users interact with the system.  ... 
doi:10.5281/zenodo.5137029 fatcat:5kwxugqobbgy5ivke4a6urjvay

Challenges in Developing Effective Clinical Decision Support Systems [chapter]

Kamran Sartipi, Norman P., Mohammad H.
2011 Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain  
Clinical Decision Support Systems (CDSS) are defined as computer applications that assist practitioners and healthcare providers in decision making, through timely access to 1 2 Will-be-set-by-IN-TECH  ...  As a result, technology and different web-based tools (browse and search, document sharing, data mining, maps, data bases, web services) can be utilized as computing support for people, to help them make  ...  For example, with the recent increased focus on the prevention of medical errors, Computer-based Physician Order Entry (CPOE) systems enhanced by CDSS have been proposed as a key element in improving patient  ... 
doi:10.5772/17837 fatcat:wwkym7za6rblhkdv2pxi32kgxm

Software architecture and mobility: A roadmap

Nenad Medvidovic, George Edwards
2010 Journal of Systems and Software  
platforms, and (2) mobile systems, which are computing applications that include mobile software and hardware elements.  ...  We consider mobility from two related perspectives: (1) mobile software, which represents the computing functionality designed to migrate across hardware devices at runtime and execute on mobile hardware  ...  Second, context-aware application developers need specialized middleware platforms and programming languages for supporting highly distributed and dynamic sensor-based computing environments.  ... 
doi:10.1016/j.jss.2009.11.004 fatcat:el6liwqdn5ejxfzbepeoquxb2i

A Survey of Multi-Agent based Intelligent Decision Support System for Medical Classification Problems

Hanaa Salem, Gamal Attiya, Nawal El-Fishawy
2015 International Journal of Computer Applications  
The purpose of the survey described in this paper is the development of a novel large-scale hybrid medical diagnosis system based on Multi-agent Intelligent Decision Support System (IDSS) for distributed  ...  Intelligent decision support system an automated judgment that supports decision making is composed of human and computer interaction to help in decision making accuracy.  ...  Health Agents, European Commission (EC)-funded research project to improve the classification of brain tumors through multi-agent decision support in extra of a distributed network of local databases or  ... 
doi:10.5120/ijca2015905529 fatcat:aqy5tvs65bc5bfzlxrnqo3m3bq

The role of a decision-support smartphone application in enhancing community health volunteers' effectiveness to improve maternal and newborn outcomes in Nairobi, Kenya: quasi-experimental research protocol

Pauline Bakibinga, Eva Kamande, Milka Omuya, Abdhalah K Ziraba, Catherine Kyobutungi
2017 BMJ Open  
The application is based on existing guidelines and protocols in use by CHVs.  ...  operationalisation of the decision-support system The mobile decision-support tool/ system (mDST/S) mobile application (app) is an Android app that installs from the phone and runs as an application (  ...  Open Access This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build  ... 
doi:10.1136/bmjopen-2016-014896 pmid:28729309 pmcid:PMC5642658 fatcat:osj4bba2eneyxgtoddbf6lvsgy

A Taxonomy of Computation Offloading in Mobile Cloud Computing

Nur Idawati Md Enzai, Maolin Tang
2014 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering  
The taxonomy provides guidelines to identify research scopes in computation offloading for mobile cloud computing. We also outline directions and anticipated trends for future research.  ...  Cloud computing has also become an attractive choice for mobile users as well.  ...  Performance and robustness can also be enhanced through suitable offloading criteria with respect to types of application [11] .  ... 
doi:10.1109/mobilecloud.2014.16 dblp:conf/mobilecloud/EnzaiT14 fatcat:omgll6mddjejbgtrenl5qt77se

Applications of Integrated IoT-Fog-Cloud Systems to Smart Cities: A Survey

Nader Mohamed, Jameela Al-Jaroodi, Sanja Lazarova-Molnar, Imad Jawhar
2021 Electronics  
Some of the technologies assisting smart city applications are the Internet of Things (IoT), fog computing, and cloud computing.  ...  In this paper we survey various applications of iIFCs for smart cities. We identify different common issues associated with utilizing iIFCs for smart city applications.  ...  In this example, the authors used fully integrated and autonomous fog computing controls with distributed data analysis and decision making in conjunction with optimized routing protocols to support this  ... 
doi:10.3390/electronics10232918 fatcat:nvtuswyafjaexhf55bj6i36oey

Seamless application execution in mobile cloud computing: Motivation, taxonomy, and open challenges

Ejaz Ahmed, Abdullah Gani, Muhammad Khurram Khan, Rajkumar Buyya, Samee U. Khan
2015 Journal of Network and Computer Applications  
Seamless application execution is vital for the usability of various delay-sensitive mobile cloud applications.  ...  However, the resource-intensive migration process and intrinsic limitations of the wireless medium impede the realization of seamless execution in mobile cloud computing (MCC) environment.  ...  Moreover, the optimization model is supported with a lightweight, efficient, and predictive decision algorithm.  ... 
doi:10.1016/j.jnca.2015.03.001 fatcat:u7j4zdmg2zag3gd3vrmuksbkqq
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