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Yu G, Ye Q, Ruan T. Enhancing Error Detection on Medical Knowledge Graphs via Intrinsic Label. Bioengineering (Basel) 2024; 11:225. [PMID: 38534499 DOI: 10.3390/bioengineering11030225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/21/2024] [Accepted: 02/24/2024] [Indexed: 03/28/2024] Open
Abstract
The construction of medical knowledge graphs (MKGs) is steadily progressing from manual to automatic methods, which inevitably introduce noise, which could impair the performance of downstream healthcare applications. Existing error detection approaches depend on the topological structure and external labels of entities in MKGs to improve their quality. Nevertheless, due to the cost of manual annotation and imperfect automatic algorithms, precise entity labels in MKGs cannot be readily obtained. To address these issues, we propose an approach named Enhancing error detection on Medical knowledge graphs via intrinsic labEL (EMKGEL). Considering the absence of hyper-view KG, we establish a hyper-view KG and a triplet-level KG for implicit label information and neighborhood information, respectively. Inspired by the success of graph attention networks (GATs), we introduce the hyper-view GAT to incorporate label messages and neighborhood information into representation learning. We leverage a confidence score that combines local and global trustworthiness to estimate the triplets. To validate the effectiveness of our approach, we conducted experiments on three publicly available MKGs, namely PharmKG-8k, DiseaseKG, and DiaKG. Compared with the baseline models, the Precision@K value improved by 0.7%, 6.1%, and 3.6%, respectively, on these datasets. Furthermore, our method empirically showed that it significantly outperformed the baseline on a general knowledge graph, Nell-995.
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Affiliation(s)
- Guangya Yu
- Zhejiang Laboratory, Hangzhou 311121, China
- School of Information Science and Technology, East China University of Science and Technology, Shanghai 200237, China
| | - Qi Ye
- School of Information Science and Technology, East China University of Science and Technology, Shanghai 200237, China
| | - Tong Ruan
- School of Information Science and Technology, East China University of Science and Technology, Shanghai 200237, China
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Apostolopoulos ID, Papandrianos NI, Papathanasiou ND, Papageorgiou EI. Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study. Bioengineering (Basel) 2024; 11:139. [PMID: 38391626 PMCID: PMC10886348 DOI: 10.3390/bioengineering11020139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 01/18/2024] [Accepted: 01/27/2024] [Indexed: 02/24/2024] Open
Abstract
Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers because they can capture intricate associations among variables and generate precise predictions. FCMs have demonstrated their utility in diverse medical applications, from disease diagnosis to treatment planning and prognosis prediction. Their ability to model complex relationships between symptoms, biomarkers, risk factors, and treatments has enabled healthcare providers to make informed decisions, leading to better patient outcomes. This review article provides a thorough synopsis of using FCMs within the medical domain. A systematic examination of pertinent literature spanning the last two decades forms the basis of this overview, specifically delineating the diverse applications of FCMs in medical realms, including decision-making, diagnosis, prognosis, treatment optimisation, risk assessment, and pharmacovigilance. The limitations inherent in FCMs are also scrutinised, and avenues for potential future research and application are explored.
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Affiliation(s)
| | - Nikolaos I Papandrianos
- Department of Energy Systems, University of Thessaly, Gaiopolis Campus, 41500 Larisa, Greece
| | | | - Elpiniki I Papageorgiou
- Department of Energy Systems, University of Thessaly, Gaiopolis Campus, 41500 Larisa, Greece
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Haque AKMB, Arifuzzaman BM, Siddik SAN, Kalam A, Shahjahan TS, Saleena TS, Alam M, Islam MR, Ahmmed F, Hossain MJ. Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues. Int J Clin Pract 2022; 2022:6807484. [PMID: 36320897 PMCID: PMC9596238 DOI: 10.1155/2022/6807484] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/25/2022] [Accepted: 10/04/2022] [Indexed: 01/09/2023] Open
Abstract
Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge in reaching this ambitious goal is letting the information exchange across heterogeneous sources and methods as well as establishing efficient tools and techniques. Semantic Web (SW) technology can help to tackle these problems. They can enhance knowledge exchange, information management, data interoperability, and decision support in healthcare systems. They can also be utilized to create various e-healthcare systems that aid medical practitioners in making decisions and provide patients with crucial medical information and automated hospital services. This systematic literature review (SLR) on SW in healthcare systems aims to assess and critique previous findings while adhering to appropriate research procedures. We looked at 65 papers and came up with five themes: e-service, disease, information management, frontier technology, and regulatory conditions. In each thematic research area, we presented the contributions of previous literature. We emphasized the topic by responding to five specific research questions. We have finished the SLR study by identifying research gaps and establishing future research goals that will help to minimize the difficulty of adopting SW in healthcare systems and provide new approaches for SW-based medical systems' progress.
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Affiliation(s)
| | - B. M. Arifuzzaman
- Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh
| | | | - Abul Kalam
- Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh
| | | | - T. S. Saleena
- PG & Research Department of Computer Science, Sullamussalam Science College Areekode, Malappuram, Kerala 673639, India
| | - Morshed Alam
- Institute of Education and Research, Jagannath University, Dhaka 1100, Bangladesh
| | - Md. Rabiul Islam
- Department of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh
| | - Foyez Ahmmed
- Department of Statistics, Comilla University, Kotbari, Cumilla, Bangladesh
| | - Md. Jamal Hossain
- Department of Pharmacy, State University of Bangladesh, 77 Satmasjid Road, Dhanmondi, Dhaka 1205, Bangladesh
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Towards Dynamic Uncertain Causality Graphs for the Intelligent Diagnosis and Treatment of Hepatitis B. Symmetry (Basel) 2020. [DOI: 10.3390/sym12101690] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Hepatitis B is a widespread epidemic in the world, but so far no single drug has been shown to kill or eliminate the Hepatitis B virus and heal people with chronic Hepatitis B virus infection. Based on comprehensive investigations to relevant characteristics of Hepatitis B, a diagnostic modelling and reasoning methodology using Dynamic Uncertain Causality Graph is proposed. The symptoms, physical signs, examinations results, medical histories, etiology, pathogenesis and other factors were included in the diagnosis model. In order to reduce the difficulty of building the model, a modular modeling scheme is proposed, which provides multi-perspectives and arbitrary granularity for the expression of disease causality. The chain reasoning algorithm and weighted logic operation mechanism are introduced to ensure the correctness and effectiveness of diagnostic reasoning under incomplete and uncertain information. In addition, the causal view of the potential interactions between diseases and symptoms visually shows the reasoning process in a graphical way. In the relevant model, the model of the diagnostic process and the model of the therapeutic process are symmetrical. The results show that, even with incomplete observations, the proposed methodology achieves encouraging diagnostic accuracy and effectiveness, providing a promising assistance tool for physicians in the diagnosis of Hepatitis B.
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Dogu E, Albayrak YE, Tuncay E. Multidrug-resistant tuberculosis risk factors assessment with intuitionistic fuzzy cognitive maps. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-179470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Elif Dogu
- Industrial Engineering Department, Galatasaray University, Besiktas, Istanbul, Turkey
| | - Y. Esra Albayrak
- Industrial Engineering Department, Galatasaray University, Besiktas, Istanbul, Turkey
| | - Esin Tuncay
- Yedikule Chest Diseases & Thoracic Surgery Training & Research Hospital, Zeytinburnu, Istanbul, Turkey
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A fuzzy scenario-based approach to analyzing neuromarketing technology evaluation factors. Soft comput 2019. [DOI: 10.1007/s00500-019-03770-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Dogu E, Albayrak YE. Criteria evaluation for pricing decisions in strategic marketing management using an intuitionistic cognitive map approach. Soft comput 2018. [DOI: 10.1007/s00500-018-3219-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Amirkhani A, Papageorgiou EI, Mohseni A, Mosavi MR. A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2017; 142:129-145. [PMID: 28325441 DOI: 10.1016/j.cmpb.2017.02.021] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 02/11/2017] [Accepted: 02/17/2017] [Indexed: 06/06/2023]
Abstract
BACKGROUND AND OBJECTIVE A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems. This review study is conducted to identify different FCM structures used in MDSS designs. The best structure for each medical application can be introduced by studying the properties of FCM structures. METHODS This paper surveys the most important decision- making methods and applications of FCMs in the medical field in recent years. To investigate the efficiency and capability of different FCM models in designing MDSSs, medical applications are categorized into four key areas: decision-making, diagnosis, prediction, and classification. Also, various diagnosis and decision support problems addressed by FCMs in recent years are reviewed with the goal of introducing different types of FCMs and determining their contribution to the improvements made in the fields of medical diagnosis and treatment. RESULTS In this survey, a general trend for future studies in this field is provided by analyzing various FCM structures used for medical purposes, and the results from each category. CONCLUSIONS Due to the unique specifications of FCMs in integrating human knowledge and experience with computer-aided techniques, they are among practical instruments for MDSS design. In the not too distant future, they will have a significant role in medical sciences.
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Affiliation(s)
- Abdollah Amirkhani
- Dept. of Electrical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.
| | - Elpiniki I Papageorgiou
- Dept. of Computer Engineering, Technological Educational Institute of Central Greece, Lamia 35100, Greece.
| | - Akram Mohseni
- Dept. of Electrical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.
| | - Mohammad R Mosavi
- Dept. of Electrical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.
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Morphological segmenting and neighborhood pixel-based locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study. Neural Comput Appl 2017. [DOI: 10.1007/s00521-017-2955-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Trigueros JA, Piñero DP, Ismail MM. Profitability analysis of a femtosecond laser system for cataract surgery using a fuzzy logic approach. Int J Ophthalmol 2016; 9:1046-50. [PMID: 27500115 DOI: 10.18240/ijo.2016.07.18] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 10/12/2015] [Indexed: 01/07/2023] Open
Abstract
AIM To define the financial and management conditions required to introduce a femtosecond laser system for cataract surgery in a clinic using a fuzzy logic approach. METHODS In the simulation performed in the current study, the costs associated to the acquisition and use of a commercially available femtosecond laser platform for cataract surgery (VICTUS, TECHNOLAS Perfect Vision GmbH, Bausch & Lomb, Munich, Germany) during a period of 5y were considered. A sensitivity analysis was performed considering such costs and the countable amortization of the system during this 5y period. Furthermore, a fuzzy logic analysis was used to obtain an estimation of the money income associated to each femtosecond laser-assisted cataract surgery (G). RESULTS According to the sensitivity analysis, the femtosecond laser system under evaluation can be profitable if 1400 cataract surgeries are performed per year and if each surgery can be invoiced more than $500. In contrast, the fuzzy logic analysis confirmed that the patient had to pay more per surgery, between $661.8 and $667.4 per surgery, without considering the cost of the intraocular lens (IOL). CONCLUSION A profitability of femtosecond laser systems for cataract surgery can be obtained after a detailed financial analysis, especially in those centers with large volumes of patients. The cost of the surgery for patients should be adapted to the real flow of patients with the ability of paying a reasonable range of cost.
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Affiliation(s)
- José Antonio Trigueros
- Department of Financial Economic and Accounting, Miguel Hernández University, Elche 03202, Alicante, Spain
| | - David P Piñero
- Department of Optics, Pharmacology and Anatomy, University of Alicante, Crta San Vicente del Raspeig, Alicante 03690, Spain
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Büyükavcu A, Albayrak YE, Göker N. A fuzzy information-based approach for breast cancer risk factors assessment. Appl Soft Comput 2016. [DOI: 10.1016/j.asoc.2015.09.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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de la Torre-Díez I, Martínez-Pérez B, López-Coronado M, Díaz JR, López MM. Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps. J Med Syst 2014; 39:174. [PMID: 25472731 DOI: 10.1007/s10916-014-0174-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 11/25/2014] [Indexed: 11/29/2022]
Abstract
The growing importance that mobile devices have in daily life has also reached health care and medicine. This is making the paradigm of health care change and the concept of mHealth or mobile health more relevant, whose main essence is the apps. This new reality makes it possible for doctors who are not specialist to have easy access to all the information generated in different corners of the world, making them potential keepers of that knowledge. However, the new daily information exceeds the limits of the human intellect, making Decision Support Systems (DSS) necessary for helping doctors to diagnose diseases and also help them to decide the attitude that has to be taken towards these diagnoses. These could improve the health care in remote areas and developing countries. All of this is even more important in diseases that are more prevalent in primary care and that directly affect the people's quality of life, this is the case in ophthalmological problems where in first patient care a specialist in ophthalmology is not involved. The goal of this paper is to analyse the state of the art of DSS in Ophthalmology. Many of them focused on diseases affecting the eye's posterior pole. For achieving the main purpose of this research work, a literature review and commercial apps analysis will be done. The used databases and systems will be IEEE Xplore, Web of Science (WoS), Scopus, and PubMed. The search is limited to articles published from 2000 until now. Later, different Mobile Decision Support System (MDSS) in Ophthalmology will be analyzed in the virtual stores for Android and iOS. 37 articles were selected according their thematic (posterior pole, anterior pole, Electronic Health Records (EHRs), cloud, data mining, algorithms and structures for DSS, and other) from a total of 600 found in the above cited databases. Very few mobile apps were found in the different stores. It can be concluded that almost all existing mobile apps are focused on the eye's posterior pole. Among them, the most intended are for diagnostic of diabetic retinopathy. The primary market niche of the commercial apps is the general physicians.
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Affiliation(s)
- Isabel de la Torre-Díez
- Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15, 47011, Valladolid, Spain,
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Gastounioti A, Kolias V, Golemati S, Tsiaparas NN, Matsakou A, Stoitsis JS, Kadoglou NPE, Gkekas C, Kakisis JD, Liapis CD, Karakitsos P, Sarafis I, Angelidis P, Nikita KS. CAROTID - a web-based platform for optimal personalized management of atherosclerotic patients. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2014; 114:183-193. [PMID: 24636805 DOI: 10.1016/j.cmpb.2014.02.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Revised: 02/06/2014] [Accepted: 02/10/2014] [Indexed: 06/03/2023]
Abstract
Carotid atherosclerosis is the main cause of fatal cerebral ischemic events, thereby posing a major burden for public health and state economies. We propose a web-based platform named CAROTID to address the need for optimal management of patients with carotid atherosclerosis in a twofold sense: (a) objective selection of patients who need carotid-revascularization (i.e., high-risk patients), using a multifaceted description of the disease consisting of ultrasound imaging, biochemical and clinical markers, and (b) effective storage and retrieval of patient data to facilitate frequent follow-ups and direct comparisons with related cases. These two services are achieved by two interconnected modules, namely the computer-aided diagnosis (CAD) tool and the intelligent archival system, in a unified, remotely accessible system. We present the design of the platform and we describe three main usage scenarios to demonstrate the CAROTID utilization in clinical practice. Additionally, the platform was evaluated in a real clinical environment in terms of CAD performance, end-user satisfaction and time spent on different functionalities. CAROTID classification of high- and low-risk cases was 87%; the corresponding stenosis-degree-based classification would have been 61%. Questionnaire-based user satisfaction showed encouraging results in terms of ease-of-use, clinical usefulness and patient data protection. Times for different CAROTID functionalities were generally short; as an example, the time spent for generating the diagnostic decision was 5min in case of 4-s ultrasound video. Large datasets and future evaluation sessions in multiple medical institutions are still necessary to reveal with confidence the full potential of the platform.
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Affiliation(s)
- Aimilia Gastounioti
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - Vasileios Kolias
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - Spyretta Golemati
- First Intensive Care Unit, Medical School, National Kapodistrian University of Athens, Greece.
| | - Nikolaos N Tsiaparas
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - Aikaterini Matsakou
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - John S Stoitsis
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - Nikolaos P E Kadoglou
- Department of Vascular Surgery, Attikon University General Hospital, National Kapodistrian University of Athens, Athens, Greece
| | - Christos Gkekas
- Department of Vascular Surgery, Attikon University General Hospital, National Kapodistrian University of Athens, Athens, Greece
| | - John D Kakisis
- Department of Vascular Surgery, Attikon University General Hospital, National Kapodistrian University of Athens, Athens, Greece
| | - Christos D Liapis
- Department of Vascular Surgery, Attikon University General Hospital, National Kapodistrian University of Athens, Athens, Greece
| | - Petros Karakitsos
- Department of Cytopathology, Attikon University General Hospital, National Kapodistrian University of Athens, Athens, Greece
| | | | - Pantelis Angelidis
- Vidavo SA, Macedonia, Greece; School of Informatics and Telecommunication Engineering, University of Western Macedonia, Greece
| | - Konstantina S Nikita
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
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