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A Systematic Review of Clinical Decision Support Systems in Alzheimer's Disease Domain

Sherimon P.C., Vinu Sherimon, Preethii S.P., Rahul Nair, Renchi Mathew
2021 International Journal of Online and Biomedical Engineering (iJOE)  
Many studies focus on early diagnosis of Alzheimer's disease using clinical decision support system (CDSS) so that the progression of the disease can be slowed down to a great extent.  ...  In this context, we have undertaken a research to design and implement an ontology based Clinical decision support system for Alzheimer's disease in Sultanate of Oman.  ...  Acknowledgment The research leading to these results has received funding from the Research Council (TRC) of the Sultanate of Oman under the Block Funding Program BFP/ RGP/ ICT/ 19/ 229.  ... 
doi:10.3991/ijoe.v17i08.23643 fatcat:74rwk6wohvgdffc3h5symw2lv4

A Knowledge-based Clinical Decision Support System for the diagnosis of Alzheimer Disease

Eider Sanchez, Carlos Toro, Eduardo Carrasco, Patricia Bonachela, Carlos Parra, Gloria Bueno, Frank Guijarro
2011 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services  
Alzheimer Disease (AD) has become a major issue in developed countries due to medical advances that have extended the population longevity.  ...  While at present time, there has not been recognized a single cause for AD, the common approach to support the diagnosis is based on diagnostic image processing, psychological tests, neurological tests  ...  ACKNOWLEDGMENT We would like to thank the members of the MIND consortium and in specific we would like to express our gratitude to ERESA for leading this effort.  ... 
doi:10.1109/health.2011.6026778 fatcat:4omsev6v6fbufmbanf742z3q7m

A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis

Nora Shoaip, Amira Rezk, Shaker El-Sappagh, Louai Alarabi, Sherif Barakat, Mohammed Elmogy
2020 IEEE Access  
INDEX TERMS Fuzzy ontology, clinical decision support system, Alzheimer's disease, knowledge based, Mild COGNITIVE impairment, ontology representation.  ...  The Clinical Decision Support System (CDSS) can improve patient care and support many medical functions, such as diagnosing diseases that can reduce preventable harm.  ...  Elmogy is a professional member of the ACM Society. He has served as a Reviewer for various international journals. He served as a Technical Program Committee Member in many workshops and conferences.  ... 
doi:10.1109/access.2020.3048435 fatcat:asxbpuhffvebjnhkzoi57hswki

PECLIDES Neuro: A Personalisable Clinical Decision Support System for Neurological Diseases

Tamara T Müller, Pietro Lio
2020 Frontiers in Artificial Intelligence  
A well-structured rule set is created and every rule of the decision-making process can be observed by the user (physician).  ...  Here we introduce our Personalisable Clinical Decision Support System (PECLIDES), an algorithmic process formulated to address this specific fault in diagnosis detection.  ...  AUTHOR CONTRIBUTIONS TM and PL developed the theoretical project architecture and ideas and contributed to the final version of the manuscript.  ... 
doi:10.3389/frai.2020.00023 pmid:33733142 pmcid:PMC7861296 fatcat:6ig7boyoc5bs7ddnl3uhyb7nsq

Alzheimer's Disease Diagnosis Based on a Semantic Rule-Based Modeling and Reasoning Approach

Nora Shoaip, Amira Rezk, Shaker EL-Sappagh, Tamer Abuhmed, Sherif Barakat, Mohammed Elmogy
2021 Computers Materials & Continua  
It is a global health problem. 99% of clinical trials have failed to limit the progression of this disease.  ...  Thus, our aim in this work is to propose an interpretable approach to detect AD based on Alzheimer's disease diagnosis ontology (ADDO) and the expression of semantic web rule language (SWRL).  ...  Additionally, use ML to learn from the benchmark data set and generate rules for making decisions.  ... 
doi:10.32604/cmc.2021.019069 fatcat:4gmlpbnonfebxf23o3emywqbam

PECLIDES Neuro - A Personalisable Clinical Decision Support System for Neurological Diseases [article]

Tamara T. Mueller, Pietro Lio'
2019 bioRxiv   pre-print
A well-structured rule set is created and every rule of the decision making process can be observed by the user (physician).  ...  This is one reason why we introduce our Personalisable Clinical Decision Support System PECLIDES that provides a clear insight into the decision making process on top of the diagnosis.  ...  This approach could also be used for the clinical decision support system introduced in this work and is a promising approach to make decision support systems more accessible. v Random forests can also  ... 
doi:10.1101/708818 fatcat:yrbfbayponhetnuiufgpj6egzq

Agent-Based Reasoning in Medical Planning and Diagnosis Combining Multiple Strategies

Juan Carlos Nieves, Helena Lindgren, Ulises Cortés
2014 International journal on artificial intelligence tools  
The knowledge bases of these agents are captured by a class of possibilistic logic programs. Hence, these agents are able to deal with qualitative information.  ...  Medical reasoning describes a form of qualitative inquiry that examines the cognitive (thought) processes involved in making medical decision.  ...  Cortés is partially supported by (CIP-ICT-PSP-2011-5 #297225) "Integrated prevention and Detection sOlutioNs Tailored to the population and Risk Factors associated with FALLs (I-DONT-FALL)". U.  ... 
doi:10.1142/s0218213014400041 fatcat:crg6bdg26jdpfiwdqpz7y5qqnq

An interpretable machine learning model for diagnosis of Alzheimer's disease

Diptesh Das, Junichi Ito, Tadashi Kadowaki, Koji Tsuda
2019 PeerJ  
A decision tree explains to a patient the diagnosis with a long rule (i.e., conjunction of many intervals), while SHIMR employs a weighted sum of short rules.  ...  Using proteomics data of 151 subjects in the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, SHIMR is shown to be as accurate as other non-interpretable methods (Sensitivity, SN = 0.84 ± 0.1  ...  Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu).  ... 
doi:10.7717/peerj.6543 pmid:30842909 pmcid:PMC6398390 fatcat:dojbtmrhv5eara34msolavkzd4

Improving dementia care: The role of screening and detection of cognitive impairment

Soo Borson, Lori Frank, Peter J. Bayley, Malaz Boustani, Marge Dean, Pei-Jung Lin, J. Riley McCarten, John C. Morris, David P. Salmon, Frederick A. Schmitt, Richard G. Stefanacci, Marta S. Mendiondo (+4 others)
2013 Alzheimer's & Dementia  
In response to these changes, the Alzheimer's Foundation of America and the Alzheimer's Drug Discovery Foundation convened a workgroup to review evidence for screening implementation and to evaluate the  ...  The value of screening for cognitive impairment, including dementia and Alzheimer's disease, has been debated for decades.  ...  Acknowledgments Dr Boustani was a scientific consultant who advised United BioSource Corporation on the development of their physician survey.  ... 
doi:10.1016/j.jalz.2012.08.008 pmid:23375564 pmcid:PMC4049530 fatcat:4whikvpbzjeubohwaivy54rpyi

Criteria2Query: a natural language interface to clinical databases for cohort definition

Chi Yuan, Patrick B Ryan, Casey Ta, Yixuan Guo, Ziran Li, Jill Hardin, Rupa Makadia, Peng Jin, Ning Shang, Tian Kang, Chunhua Weng
2019 JAMIA Journal of the American Medical Informatics Association  
Cohort definition is a bottleneck for conducting clinical research and depends on subjective decisions by domain experts.  ...  Criteria2Query is a natural language interface that facilitates human-computer collaboration for cohort definition and execution using clinical databases.  ...  FUNDING This research was supported by National Library of Medicine grant R01LM009886 (to CW), Janssen grant JANSRD CU15-2317 (to CW), and National Center for Advancing Translational Science grants 3OT3TR002027  ... 
doi:10.1093/jamia/ocy178 pmid:30753493 pmcid:PMC6402359 fatcat:5xg4qbkqsbc3vjnr4rvg2dahw4

Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

Sabrina Azzi, Stéphane Gagnon, Alex Ramirez, Gregory Richards
2020 Applied Sciences  
A total of 24,782 articles were identified.  ...  The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around  ...  Funding: We acknowledge support by the National Capital Management Research Fund. Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2020, 10, 6553  ... 
doi:10.3390/app10186553 doaj:b03bcc6944824d55825a0d6daa7f3459 fatcat:vztt35io3nhefml6ljsgmtebj4

Practical Approach of Knowledge Management in Medical Science [article]

Mahdi Bohlouli, Patrick Uhr, Fabian Merges, Sanaz Mohammad Hassani, Madjid Fathi
2020 arXiv   pre-print
Most medical centers are interested in using knowledge-based services like portals and learning techniques of knowledge for their future innovations and supports.  ...  In this paper, the first basics of knowledge-based systems are studied. Practical issues and challenges of Knowledge Management (KM) implementations are then illustrated.  ...  Knowledge is a set of understandings and the state of knowing acquireed through experience or study to use in decision making activities.  ... 
arXiv:2001.09795v1 fatcat:qcaiar6n7ffanfmybhkaow2uyy

A six stage approach for the diagnosis of the Alzheimer's disease based on fMRI data

Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Maria Argyropoulou, George Manis
2010 Journal of Biomedical Informatics  
The aim of this work is to present an automated method that assists in the diagnosis of Alzheimer's disease and also supports the monitoring of the progression of the disease.  ...  classification using classical and improved variations of the Random Forests algorithm and Support Vector Machines, and (f) conversion of the trees, of the Random Forest, to rules which have physical  ...  new knowledge in the field leading to a set of rules and not single rule knowledge.  ... 
doi:10.1016/j.jbi.2009.10.004 pmid:19883796 fatcat:oa32jdz74jg7xf7uvmnws6cpma

A Novel Approach of Diffusion Tensor Visualization Based Neuro Fuzzy Classification System for Early Detection of Alzheimer's Disease

Subrata Kar, D. Dutta Majumder
2019 Journal of Alzheimer s Disease Reports  
These are used as input parameters into fuzzy tools, and using fuzzy rules, we evaluate the AD score as an output variable that provides a useful platform to physicians in determining the status of the  ...  This study examined early detection of Alzheimer's disease (AD) by diffusion tensor visualization-based methodology and neuro-fuzzy tools.  ...  ACKNOWLEDGMENTS This research work was not supported financially by any research grant from our college or any other Institution of India, which is a low-income country, but also funded by us.  ... 
doi:10.3233/adr-180082 pmid:30842994 pmcid:PMC6400114 fatcat:4sozjubnu5hqhjyd6gd577uehe

Ten years of knowledge representation for health care (2009–2018): Topics, trends, and challenges

David Riaño, Mor Peleg, Annette ten Teije
2019 Artificial Intelligence in Medicine  
to the formalization and representation of medical knowledge for supporting clinical care.  ...  Contributions regarding modeling languages, technologies and methodologies to produce these models, their incorporation into medical decision support systems, and practical applications in concrete medical  ...  Acknowledgements The work of DR was supported by the RETOS P-BreasTreat project (DPI2016-340 77415-R) of the Spanish Ministerio de Economia y Competitividad.  ... 
doi:10.1016/j.artmed.2019.101713 pmid:31607346 fatcat:dhinirnllfch5i3iqelyvnywvq
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