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Bai, Guohua
Alternative names
Publications (10 of 57) Show all publications
Peng, C., Goswami, P. & Bai, G. (2018). An Ontological Approach to Integrate Health Resources from Different Categories of Services. In: HEALTHINFO 2018, The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing: . Paper presented at The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing,HEALTHINFO, 2018-10-14 ~ 2018-10-18, Nice, France (pp. 48-54). International Academy, Research and Industry Association (IARIA)
Open this publication in new window or tab >>An Ontological Approach to Integrate Health Resources from Different Categories of Services
2018 (English)In: HEALTHINFO 2018, The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, International Academy, Research and Industry Association (IARIA), 2018, p. 48-54Conference paper, Published paper (Refereed)
Abstract [en]

Effective and convenient self-management of health requires collaborative utilization of health data from different services provided by healthcare providers, consumer-facing products and even open data on the Web. Although health data interoperability standards include Fast Healthcare Interoperability Resources (FHIR) have been developed and promoted, it is impossible for all the different categories of services to adopt in the near future. The objective of this study aims to apply Semantic Web technologies to integrate the health data from heterogeneously built services. We present an Web Ontology Language (OWL)-based ontology that models together health data from FHIR standard implemented services, normal Web services and Linked Data. It works on the resource integration layer of the presented layered integration architecture. An example use case that demonstrates how this method integrates the health data into a linked semantic health resource graph with the proposed ontology is presented.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2018
Keywords
Health data integration; ontology; FHIR; Semantic Web; Web service; eHealth; REST
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:bth-17171 (URN)978-1-61208-675-0 (ISBN)
Conference
The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing,HEALTHINFO, 2018-10-14 ~ 2018-10-18, Nice, France
Available from: 2018-10-28 Created: 2018-10-28 Last updated: 2018-11-16Bibliographically approved
Peng, C., Goswami, P. & Bai, G. (2018). Fuzzy Matching of OpenAPI Described REST Services. In: Procedia Computer Science: . Paper presented at 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018; Metropol Palace HotelBelgrade; Serbia; 3 September 2018 through 5 September (pp. 1313-1322). Elsevier, 126
Open this publication in new window or tab >>Fuzzy Matching of OpenAPI Described REST Services
2018 (English)In: Procedia Computer Science, Elsevier, 2018, Vol. 126, p. 1313-1322Conference paper, Published paper (Refereed)
Abstract [en]

The vast amount of Web services brings the problem of discovering desired services for composition and orchestration. The syntactic service matching methods based on the classical set theory have a difficulty to capture the imprecise information. Therefore, an approximate service matching approach based on fuzzy control is explored in this paper. A service description matching model to the OpenAPI specification, which is the most widely used standard for describing the defacto REST Web services, is proposed to realize the fuzzy service matching with the fuzzy inference method developed by Mamdani and Assilian. An evaluation shows that the fuzzy service matching approach performed slightly better than the weighted approach in the setting context.

Place, publisher, year, edition, pages
Elsevier, 2018
Series
Procedia Computer Science, ISSN 1877-0509
Keywords
service matching; fuzzy inference; OpenAPI; REST; fuzzy set theory
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-16947 (URN)10.1016/j.procs.2018.08.081 (DOI)
Conference
22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018; Metropol Palace HotelBelgrade; Serbia; 3 September 2018 through 5 September
Note

Open access

Available from: 2018-08-30 Created: 2018-08-30 Last updated: 2018-11-29Bibliographically approved
Peng, C., Goswami, P. & Bai, G. (2018). Linking Health Web Services as Resource Graph by Semantic REST Resource Tagging. In: Shakshuki E.,Yasar A. (Ed.), Procedia Computer Science: . Paper presented at 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018; Leuven; Belgium; 5 November 2018 through 8 November 2018 (pp. 319-326). Elsevier, 141
Open this publication in new window or tab >>Linking Health Web Services as Resource Graph by Semantic REST Resource Tagging
2018 (English)In: Procedia Computer Science / [ed] Shakshuki E.,Yasar A., Elsevier, 2018, Vol. 141, p. 319-326Conference paper, Published paper (Refereed)
Abstract [en]

Various health Web services host a huge amount of health data about patients. The heterogeneity of the services hinders the collaborative utilization of these health data, which can provide a valuable support for the self-management of chronic diseases. The combination of REST Web services and Semantic Web technologies has proven to be a viable approach to address the problem. This paper proposes a method to add semantic annotations to the REST Web services. The service descriptions and the resource representations with semantic annotations can be transformed into a resource graph. It integrates health data from different services, and can link to the health-domain ontologies and Linked Open Health Data to support health management and imaginative applications. The feasibility of out method is demonstrated by realizing with OpenAPI service description and JSON-LD representation in an example use case.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
health data integration; eHealth; Web service description; Semantic Web; REST
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-16850 (URN)10.1016/j.procs.2018.10.194 (DOI)
Conference
9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018; Leuven; Belgium; 5 November 2018 through 8 November 2018
Note

open access

Available from: 2018-08-12 Created: 2018-08-12 Last updated: 2019-01-09Bibliographically approved
Sun, B., Cheng, W., Goswami, P. & Bai, G. (2018). Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours. IET Intelligent Transport Systems, 12(1), 41-48
Open this publication in new window or tab >>Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours
2018 (English)In: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 12, no 1, p. 41-48Article in journal (Refereed) Published
Abstract [en]

Short-term traffic forecasting is becoming more important in intelligent transportation systems. The k-nearest neighbours (kNN) method is widely used for short-term traffic forecasting.However, kNN parameters self-adjustment has been a problem due to dynamic traffic characteristics. This paper proposes a fully automatic dynamic procedure kNN (DP-kNN) that makes the kNN parameters self-adjustable and robust without predefined models or training. We used realworld data with more than one-year traffic records to conduct experiments. The results show that DP-kNN can perform better than manually adjusted kNN and other benchmarking methods with regards to accuracy on average. This study also discusses the difference between holiday and workday traffic prediction as well as the usage of neighbour distance measurement.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2018
Keywords
intelligent transportation systems; short-term traffic forecasting; road traffic; DP-kNN; dynamic procedure kNN; self-adjusting k-nearest neighbours
National Category
Computer Sciences Transport Systems and Logistics
Identifiers
urn:nbn:se:bth-15727 (URN)10.1049/iet-its.2016.0263 (DOI)000426045200006 ()
Available from: 2018-01-09 Created: 2018-01-09 Last updated: 2018-11-01Bibliographically approved
Peng, C. & Bai, G. (2018). Using Tag based Semantic Annotation to Empower Client and REST Service Interaction. In: COMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk: . Paper presented at the 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018), Funchal, Portugal (pp. 64-71). SciTePress
Open this publication in new window or tab >>Using Tag based Semantic Annotation to Empower Client and REST Service Interaction
2018 (English)In: COMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk, SciTePress, 2018, p. 64-71Conference paper, Published paper (Refereed)
Abstract [en]

The utilization of Web services is becoming a human labor consuming work as the rapid growth of Web. The semantic annotated service description can support more automatic ways on tasks such as service discovery, invocation and composition. But the adoption of existed Semantic Web Services solutions is hindering by their overly complexity and high expertise demand. In this paper we propose a highly lightweight and non-intrusive method to enrich the REST Web service resources with semantic annotations to support a more autonomous Web service utilization and generic client service interaction. It is achieved by turning the service description into a semantic resource graph represented in RDF, with the added tag based semantic annotation and a small vocabulary. The method is implemented with the popular OpenAPI service description format, and illustrated by a simple use case example.

Place, publisher, year, edition, pages
SciTePress, 2018
Keywords
Web Service Description, Semantic Annotation, REST, OpenAPI, Service Discovery, Semantic Web Services
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-16087 (URN)10.5220/0006682500640071 (DOI)978-989-758-297-4 (ISBN)
Conference
the 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018), Funchal, Portugal
Available from: 2018-04-07 Created: 2018-04-07 Last updated: 2018-09-07Bibliographically approved
Guo, Y., Bai, G. & Eriksén, S. (2017). Activity Theory based Ontology Model for efficient Knowledge Sharing in eHealth. E-Health Telecommunication Systems and Networks, 6, 31-45
Open this publication in new window or tab >>Activity Theory based Ontology Model for efficient Knowledge Sharing in eHealth
2017 (English)In: E-Health Telecommunication Systems and Networks, ISSN 2167-9517, E-ISSN 2167-9525, Vol. 6, p. 31-45Article in journal (Refereed) Published
Abstract [en]

Knowledge sharing has become an important issue that challenges the efficient healthcare delivery in eHealth system. It also rises as one of the mostdemanding applications with reference to dynamic interactivities among various healthcare actors (e.g. doctors, nurses, patients, relatives of patients). Inthis paper, we suggest an activity theory based ontology model to represent various healthcare actors. The goal of the suggested model is to enhance inte-ractivities among these healthcare actors for conducting more efficient knowledge sharing, which helps to design eHealth system. To validate the feasibilityof suggested ontology model, three typical use cases are further studied. A questionnaire based survey is carried out and the corresponding survey resultsare reported, together with the detailed discussions.

Place, publisher, year, edition, pages
Scientific Research Publishing, 2017
Keywords
eHealth, Knowledge Sharing, Activity Theory, Ontology Model
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-15582 (URN)10.4236/etsn.2017.62003 (DOI)
Note

open access

Available from: 2017-11-29 Created: 2017-11-29 Last updated: 2018-01-13Bibliographically approved
Sun, B., Cheng, W., Bai, G. & Goswami, P. (2017). Correcting and complementing freeway traffic accident data using mahalanobis distance based outlier detection. Technical Gazette, 24(5), 1597-1607
Open this publication in new window or tab >>Correcting and complementing freeway traffic accident data using mahalanobis distance based outlier detection
2017 (English)In: Technical Gazette, ISSN 1330-3651, E-ISSN 1848-6339, Vol. 24, no 5, p. 1597-1607Article in journal (Refereed) Published
Abstract [en]

A huge amount of traffic data is archived which can be used in data mining especially supervised learning. However, it is not being fully used due to lack of accurate accident information (labels). In this study, we improve a Mahalanobis distance based algorithm to be able to handle differential data to estimate flow fluctuations and detect accidents and use it to support correcting and complementing accident information. The outlier detection algorithm provides accurate suggestions for accident occurring time, duration and direction. We also develop a system with interactive user interface to realize this procedure. There are three contributions for data handling. Firstly, we propose to use multi-metric traffic data instead of single metric for traffic outlier detection. Secondly, we present a practical method to organise traffic data and to evaluate the organisation for Mahalanobis distance. Thirdly, we describe a general method to modify Mahalanobis distance algorithms to be updatable. © 2017, Strojarski Facultet. All rights reserved.

Place, publisher, year, edition, pages
Strojarski Facultet, 2017
Keywords
Accident data, Data labelling, Differential distance, Mahalanobis distance, Outlier detection, Traffic data, Updatable algorithm, Accidents, Data mining, Statistics, User interfaces, Mahalanobis distances, Data handling
National Category
Communication Systems Computer and Information Sciences
Identifiers
urn:nbn:se:bth-15472 (URN)10.17559/TV-20150616163905 (DOI)000417100300037 ()2-s2.0-85032512786 (Scopus ID)
Note

Funded by National Natural Science Foundation of China

Funding nr. 61364019

Available from: 2017-11-10 Created: 2017-11-10 Last updated: 2018-11-01Bibliographically approved
Hu, Y., Bai, G., Lundberg, J. & Eriksén, S. (2016). A Virtual Community Design for Home-Based Chronic Disease Healthcare. In: Achim Ebert, Shah Rukh Humayoun, Norbert Seyff, Anna Perini, Simone D.J. Barbosa (Ed.), Seyff N.,Ebert A.,Humayoun S.R.,Perini A.,Barbosa S.D.J.,Seyff N. (Ed.), Lecture Notes in Computer Science: . Paper presented at GetIt@BTH (standard)(opens in a new window)|GetIt@BTH (1.0)(opens in a new window)|E-Journal Portal|View at Publisher| Export | Download | Add to List| More... Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9312 LNCS, 2016, Pages 175-189 1st International Workshop on Usability- and Accessibility-Focused Requirements Engineering, UsARE 2012, Held in Conjunction with 34th International Conference on Software Engineering, ICSE 2012, 2nd International Workshop, Usability- and Accessibility-Focused Requirements Engineering, UsARE 2014 and Held in Conjunction with International Requirements Engineering Conference, RE 2014; Karlskrona. Springer Publishing Company
Open this publication in new window or tab >>A Virtual Community Design for Home-Based Chronic Disease Healthcare
2016 (English)In: Lecture Notes in Computer Science / [ed] Seyff N.,Ebert A.,Humayoun S.R.,Perini A.,Barbosa S.D.J.,Seyff N., Springer Publishing Company, 2016Conference paper, Published paper (Refereed)
Abstract [en]

The internet based social network has been applied to serve many social functions, such as democratic decision making, knowledge sharing, educa‐ tion, and healthcare. In this paper, we provide a prototype of virtual community designed for home-based chronic diseases healthcare. We studied the concept “community” from the activity theory model in order to design the prototype with a solid theoretical base. Then we conducted a questionnaire from healthcare recipients and interviewed healthcare providers to gather the requirements for the design of the community. With some user stories we described the requirements as use cases for our design and a conceptual prototype is built based on the requirements. This virtual community servers as a shared platform for all the stakeholders who are engaged in the healthcare activity. With this shared community platform, the interoperability problems of current healthcare systems can be moderated

Place, publisher, year, edition, pages
Springer Publishing Company, 2016
Keywords
Virtual community, Self-management, Home-based chronic disease healthcare, Requirements, Activity theory
National Category
Nursing Human Computer Interaction
Identifiers
urn:nbn:se:bth-13752 (URN)10.1007/978-3-319-45916-5_11 (DOI)978-3-319-45915-8 (ISBN)
Conference
GetIt@BTH (standard)(opens in a new window)|GetIt@BTH (1.0)(opens in a new window)|E-Journal Portal|View at Publisher| Export | Download | Add to List| More... Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9312 LNCS, 2016, Pages 175-189 1st International Workshop on Usability- and Accessibility-Focused Requirements Engineering, UsARE 2012, Held in Conjunction with 34th International Conference on Software Engineering, ICSE 2012, 2nd International Workshop, Usability- and Accessibility-Focused Requirements Engineering, UsARE 2014 and Held in Conjunction with International Requirements Engineering Conference, RE 2014; Karlskrona
Available from: 2017-01-13 Created: 2017-01-13 Last updated: 2018-05-22Bibliographically approved
Guo, Y., Yao, Y. & Bai, G. (2016). eHASS: A Smart Appointment Scheduling System for eHealth. In: : . Paper presented at 12th Swedish National Computer Networking Workshop (SNCNW), Sundsvall.
Open this publication in new window or tab >>eHASS: A Smart Appointment Scheduling System for eHealth
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In the eHealth system, the appointment scheduling is an important task for the delivery of healthcare service among different healthcare actors. The key procedure is to do the decision making on the selection of suitable appointments between the care providers and the care receivers. The appointment decisionis a sophisticated problem in terms of how to efficiently deal with various parameters of involved healthcare actors. To solve this problem, we suggest a smart system called eHealth Appointment Scheduling System (eHASS). eHASS takes into account both heterogeneous aspects and interoperability requirements of eHealth system. As such, eHASS is capable of jointly considering various appointment characterizations and decision making algorithms for conducting appointment scheduling. The paper reports the eHASS architecture as well as the related work-in-progress.

National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-15580 (URN)
Conference
12th Swedish National Computer Networking Workshop (SNCNW), Sundsvall
Available from: 2017-11-29 Created: 2017-11-29 Last updated: 2018-01-13Bibliographically approved
Peng, C. & Guohua, B. (2016). Flexible System Architecture of PHR to Support Sharing Health Data for Chronic Disease Self-Management. In: M Jordanova; F Lievens (Ed.), Global Telemedicine and eHealth Updates: Knowledge Resources Vol. 9, 2016: . Paper presented at Med-e-Tel - The International eHealth, Telemedicine and Health ICT Forum for Education, Networking and Business, Brussels (pp. 11-15). International Society for Telemedicine & eHealth, 9
Open this publication in new window or tab >>Flexible System Architecture of PHR to Support Sharing Health Data for Chronic Disease Self-Management
2016 (English)In: Global Telemedicine and eHealth Updates: Knowledge Resources Vol. 9, 2016 / [ed] M Jordanova; F Lievens, International Society for Telemedicine & eHealth , 2016, Vol. 9, p. 11-15Conference paper, Published paper (Refereed)
Abstract [en]

Health data sharing can benefit patients to self-manage the challenging chronic diseases out of hospital. The patient controlled electronic Personal Health Record (PHR), as a tool manages comprehensive health data, is absolutely a good entry point to share health data with multiple parties for mutual benefits in the long-term.

However, sharing health data from PHR remains challenges. The sharing of health data has to be considered holistically together with the key issues such as privacy, compatibility, evolvement and so on. A PHR system should be flexible to aggregate health data of a patient from various sources to make it comprehensive and up-to-date, should be flexible to share different categories and levels of health data for various utilizations, should be flexible to embed emerging access control mechanisms to ensure privacy and security under different sceneries.

Therefore, the flexibility of system architecture on the integration of existed and future diversifications is crucial for PHR’s practical long-term usability. This paper discussed the necessity and some advice of possible solution, by the reviewed literatures and the experience from a previous study, of flexible PHR system architecture on the mentioned aspects.

Place, publisher, year, edition, pages
International Society for Telemedicine & eHealth, 2016
Series
Global Telemedicine and eHealth Updates: Knowledge Resources, Vol. 9, 2016, ISSN 1998-5509 ; vol. 9
Keywords
flexibility, PHR, sharing, architecture, self-management
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-13585 (URN)
Conference
Med-e-Tel - The International eHealth, Telemedicine and Health ICT Forum for Education, Networking and Business, Brussels
Available from: 2016-12-14 Created: 2016-12-12 Last updated: 2018-04-16Bibliographically approved
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