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The 4 Diabetes Support System: A Case Study in CBR Research and Development [chapter]

Cindy Marling, Matthew Wiley, Tessa Cooper, Razvan Bunescu, Jay Shubrook, Frank Schwartz
2011 Lecture Notes in Computer Science  
This paper presents the 4 Diabetes Support System TM (4DSS) project as a case study in case-based reasoning (CBR) research and development.  ...  Over the course of seven years and three clinical research studies, a series of defining cases altered the research and development path.  ...  Scholarly Affairs Committee, the Research Challenge Program, and the Appalachian Rural Health Institute Diabetes Research Initiative.  ... 
doi:10.1007/978-3-642-23291-6_12 fatcat:64p2typb25dcfnuygu2egpeovi

Evaluating the Automated Blood Glucose Pattern Detection and Case-Retrieval Modules of the 4 Diabetes Support System®

Frank L. Schwartz, Stanley J. Vernier, Jay H. Shubrook, Cynthia R. Marling
2010 Journal of Diabetes Science and Technology  
Abbreviations: (A1C) glycosylated hemoglobin, (CBR) case-based reasoning, (CGMS) continuous glucose monitoring system, (SMBG) self-monitoring of blood glucose, (T1DM) type 1 diabetes mellitus  ...  Acknowledgments: We thank Tessa Cooper, Eric Flowers, Thomas Jones, Anthony Maimone, Wesley Miller, Donald Walker, and Matthew Wiley for software development and knowledge engineering.  ...  We also thank our research nurses Cammie Starner, R.N., Lynn Petrik, R.N., Barb Pellegrin, R.N., A.N.P., and Regina Reed, R.N., A.N.P.  ... 
doi:10.1177/193229681000400633 pmid:21129354 pmcid:PMC3005069 fatcat:tmapp5p76jgard5wqkt3aa7eai

Reasoning Techniques for Diabetics Expert Systems

Ibrahim M. Ahmed, Marco Alfonse, Mostafa Aref, Abdel-Badeeh M. Salem
2015 Procedia Computer Science  
In addition, this paper proposes the best reasoning technique for diabetic expert systems.  ...  This paper focus on the main technical characteristics of four reasoning methodologies which are commonly used in developing diabetic expert systems, namely; reasoning with production rules, fuzzy reasoning  ...  to support the case semantic retrieval and enhance all knowledge intensive CBR processes A case study on diabetes diagnosis case base had been provided to evaluate the proposed methodology, the ontology  ... 
doi:10.1016/j.procs.2015.09.030 fatcat:2kyhccqvqvbexekx2q2a3i3afa

A Decision Support System for Diabetes Mellitus Management

Shaker El Sappagh, Mohammed Elmogy
2016 Diabetes Case Reports  
To enable (1) the integration between EHR and CBR systems, (2) facilitate the collection of case from different EHR sites, (3) support the creation of Knowledge-Intensive CBR (KI-CBR) systems, (4) support  ...  TN= the CBR system decides not a diabetic case and the expert decides not a diabetic case.  ... 
doi:10.4172/2572-5629.1000102 fatcat:uxanav4fynhtzhpffhyqstjcla

A hybrid decision support system : application on healthcare [article]

Abdelhak Mansoul, Baghdad Atmani, Sofia Benbelkacem
2013 arXiv   pre-print
Many systems based on knowledge, especially expert systems for medical decision support have been developed.  ...  To remedy that, we propose an approach based on using a multi-criteria decision guided by a case-based reasoning (CBR) approach.  ...  In Section 3, we will establish a state of the art of the medical decision and the use of CBR in this area and in Section 4, we develop the conception of the proposed system.  ... 
arXiv:1311.4086v1 fatcat:llho5xyjqba2hcvfvg5zjmu57e

A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling

Imperial college London, Oxford Brookes University
2019 Zenodo  
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and innovation project to develop a personalised clinical decision support system for Type 1 diabetes self-management  ...  The former is determined by Case-Based Reasoning (CBR) an artificial intelligence technique that adapts to new situations according to past experience.  ...  PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and innovation project to develop a personalised clinical decision support system for Type 1 diabetes self-management  ... 
doi:10.5281/zenodo.2600776 fatcat:tkjlpnqvkzhajosz5y2w5m5uee

TOWARD CASE-BASED REASONING FOR DIABETES MANAGEMENT: A PRELIMINARY CLINICAL STUDY AND DECISION SUPPORT SYSTEM PROTOTYPE

Cindy Marling, Jay Shubrook, Frank Schwartz
2009 Computational intelligence  
This paper presents a case-based decision support system prototype to assist patients with Type 1 diabetes on insulin pump therapy.  ...  Fifty cases were compiled in a case library, situation assessment routines were encoded to detect common problems in blood glucose control, and retrieval metrics were developed to find the most relevant  ...  ACKNOWLEDGMENTS The authors gratefully acknowledge support from Medtronic MiniMed, Ohio University's Russ College Biomedical Engineering Fund, and the Ohio University Osteopathic College of Medicine Research  ... 
doi:10.1111/j.1467-8640.2009.00336.x fatcat:3fgqfecjlrdefobyokybrv4nmy

Synergistic case-based reasoning in medical domains

Cindy Marling, Stefania Montani, Isabelle Bichindaritz, Peter Funk
2014 Expert systems with applications  
The following systems are presented: (1) CARE-PARTNER, which supports the long-term follow-up care of stem-cell transplantation patients; (2) the 4 Diabetes Support System, which aids in managing patients  ...  systems that exemplify the approaches and benefits of case-based reasoning in medical domains.  ...  Acknowledgements Work on CARE-PARTNER was supported by Grant R01HS09407 from the Agency on Health Care Policy and Research (AHCPR), and by a Scholarship Grant from the University of Washington, Tacoma.  ... 
doi:10.1016/j.eswa.2013.05.063 fatcat:36gq4a3wvjaaldf4cbxtqm5ft4

Computational Intelligence for Digital Healthcare

Abdel-Badeeh M. Salem
2020 International Conference on Information Control Systems & Technologies  
and case studies, identifying the best design practices, assessing implementation models and practices of AI paradigms in digital healthcare systems .This paper presents some of the CI techniques for  ...  In the last years, various computational intelligence (CI) techniques and methodologies have been proposed by the researchers in order to develop digital knowledge-based systems (DKBS) for different medical  ...  Most commonly application of CBR used in developing expert systems technology. In CBR expert systems, the system can reason from analogy from the past cases.  ... 
dblp:conf/icst2/Salem20 fatcat:cviihxfxwvcmxoa6hj4ku5dxqa

Knowledge and intelligent computing system in medicine

Babita Pandey, R.B. Mishra
2009 Computers in Biology and Medicine  
Our study would be helpful for the novices that may emerge/resume their research in the areas of medical expert and intelligent systems.  ...  Knowledge-based and rule-based system Rule-based model have been developed and utilized by many researchers in the treatment and diagnosis of various diseases.  ...  Conflict of interest statement Area of expert systems in medicine.  ... 
doi:10.1016/j.compbiomed.2008.12.008 pmid:19201398 fatcat:hydva3mfobfefewbfnxqbfxktu

Integration of Rule Based Expert Systems and Case Based Reasoning in an Acute Bacterial Meningitis Clinical Decision Support System [article]

Mariana Maceiras Cabrera, Ernesto Ocampo Edye
2010 arXiv   pre-print
This article presents the results of the research carried out on the development of a medical diagnostic system applied to the Acute Bacterial Meningitis, using the Case Based Reasoning methodology.  ...  The research was focused on the implementation of the adaptation stage, from the integration of Case Based Reasoning and Rule Based Expert Systems.  ...  [1] , [4] This research is focused on the development of an Acute Bacterial Meningitis MDS integrating Case Based Reasoning (hereafter CBR) with Rule Based Expert Systems (hereafter RBR).  ... 
arXiv:1003.1493v1 fatcat:5hsrmoksqbgy5i2gw3duhr7mwm

Case-Based Reasoning Diagnostic System for Antenatal Research Database

Muhammad Kamran, Ahmed Almaghthawi
2022 International Journal of Online and Biomedical Engineering (iJOE)  
In this paper, we have proposed an efficient Intelligent Electronic Medical Record system for antenatal care and used Case-Based Reasoning to predict diagnosis of the patient in noisy environment.  ...  These results have also shown that performance of e-health can be enhanced when system development is a collective effort of various stakeholders including medical professionals, software developers and  ...  The authors, therefore, acknowledge with thanks the University of Jeddah technical and financial support.  ... 
doi:10.3991/ijoe.v18i07.30353 doaj:8441fdc0a54c41398d5bd774ba28f1fb fatcat:frx6qjrzrnd2tkand5gsefnute

Aspects of Intelligent Systems Explanation

Keith Darlington
2013 Universal Journal of Control and Automation  
The uses of explanation facilities have their roots in heuristic rule-based expert systems and have long been touted as an important adjunct in intelligent decision support systems.  ...  Intelligent systems encompass a wide range of software technologies including heuristic and normative expert systems, case-based reasoning systems, and neural networks.  ...  There are many examples in use. DIRAS [40] is an example of a knowledge intensive CBR system that is used for the diagnosis and treatment of diabetes.  ... 
doi:10.13189/ujca.2013.010204 fatcat:eo74doinczg4fkge445hmimy2m

Knowledge management system in falling risk for physiotherapy care of elderly

Worasak Rueangsirarak, Nopasit Chakpitak, Komsak Meksamoot, Prapas Pothongsunun
2014 Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific  
The idea is to integrate an appropriate procedure including case based reasoning and motion capture to provide a decision support system.  ...  This paper describes the elderly healthcare research project affected by a fall.  ...  ACKNOWLEDGMENT This study has been conducted with the College of Art Media and Technology at Chiang Mai University, Thailand in collaboration with the Faculty of Associated Medical Sciences, Chiang Mai  ... 
doi:10.1109/apsipa.2014.7041812 dblp:conf/apsipa/RueangsirarakCM14 fatcat:qlggu42qcnfb5cg7cngrmn5aiy

Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning [article]

Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu
2018 arXiv   pre-print
Decision support is a probabilistic and quantitative method designed for modeling problems in situations with ambiguity.  ...  Disease Ontology (DO) that pertains to cancer's clinical stages and their corresponding information components is utilized to improve the reasoning ability of a decision support system (DSS).  ...  [12] presented a novel fuzzy expert system for diabetes decision support application. The proposed fuzzy expert system can work effectively for diabetes decision support application.  ... 
arXiv:1812.01891v1 fatcat:ybhqgcjgnbfozeedwhlirk4geq
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