Article
Engineering, Multidisciplinary
Wensheng Gan, Kaixia Hu, Gengsen Huang, Wei-Che Chien, Han-Chieh Chao, Weizhi Meng
Summary: This article introduces the application of AI-powered healthcare cyber-physical systems in healthcare services and the techniques of data analysis. The authors propose the problem of contiguous negative sequential pattern mining and present a novel algorithm to address this problem. Through experiments and analysis, it is demonstrated that the proposed algorithm can effectively discover meaningful patterns from medical data.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Normadiah Mahiddin, Zulaiha Ali Othman, Azuraliza Abu Bakar, Nur Arzuar Abdul Rahim
Summary: The nature of decision making in healthcare is complex and crucial. A proposed intelligent decision support system model based on data mining aims to improve decision-making accuracy by utilizing knowledge from previous and following treatment stages. The experiment results show improved accuracy and practicality as a healthcare solution.
Article
Computer Science, Theory & Methods
Yuliang Yun, Dexin Ma, Meihong Yang
Summary: Human-computer interaction plays a crucial role in modern intelligent systems, especially in decision-making processes within decision support systems. This paper introduces a novel visual decision-making system suitable for industrial applications, achieving good performance through the application of data mining techniques. Experimental results demonstrate the superiority of this approach in terms of effectiveness and robustness compared to other methods.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Information Systems
Judith Santos-Pereira, Le Gruenwald, Jorge Bernardino
Summary: This paper presents a survey of popular open-source data mining tools and proposes tool selection criteria based on healthcare application requirements. KNIME and RapidMiner are identified as the best tools for healthcare data mining.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Ademir Batista dos Santos Neto, Maria da Conceicao Moras Batista, Tiago A. E. Ferreira
Summary: This article presents a methodology developed to identify pent-up demand by analyzing commercial invoices, using Brazil as a case study. By collecting information from electronic invoices, it is possible to quantitatively evaluate the existence of pent-up demand for certain products in specific regions, and create decision support mechanisms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Sander J. J. Leemans, Andrew Partington, Jonathan Karnon, Moe T. Wynn
Summary: Managing constrained healthcare resources is important for healthcare decision makers. Process mining techniques can inform decisions by quantitatively discovering, comparing, and detailing care processes. However, the scope of these techniques often neglects the accumulated costs and consequences. This paper introduces a new process model that incorporates trace data and enhances it with process-based micro-costing estimations.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Li Jian
Summary: This paper discusses the importance of human resource management and the increasing significance of computer information systems in decision-making activities. It presents the design of an enterprise human resource decision support system based on data mining and demonstrates its effectiveness.
Article
Computer Science, Information Systems
Md Mostafizer Rahman, Yutaka Watanobe, Taku Matsumoto, Rage Uday Kiran, Keita Nakamura
Summary: This research proposes an educational data mining framework to support programming learning using unsupervised algorithms. By collecting and preprocessing problem-solving data from an online judge system, and applying MK-means clustering algorithm and frequent pattern growth algorithm for data mining, this framework effectively extracts useful features, patterns, and rules, providing suggestions for programming learning.
Article
Engineering, Industrial
Luigi Jesus Basile, Nunzia Carbonara, Roberta Pellegrino, Umberto Panniello
Summary: The pandemic has accelerated the digitalization of businesses and the use of digital technologies, leading to a massive amount of data. Business Intelligence (BI) is used to exploit this data for decision-making and improving firm management. The application of BI in the healthcare sector for process management is an underexplored area.
Article
Multidisciplinary Sciences
Vess Stamenova, Cherry Chu, Andrea Pang, Jiming Fang, Ahmad Shakeri, Peter Cram, Onil F. Bhattacharyya, R. Sacha F. Bhatia, Mina F. Tadrous
Summary: This study found that virtual care was widely adopted among patients with chronic diseases during the COVID-19 pandemic, with higher utilization rates compared to in-person care. Both low and high virtual care user groups experienced reduced hospitalizations and laboratory testing during the pandemic, but hospitalization volumes increased again only among high users. Virtual care had the highest adoption rates in the mental health field.
Article
Chemistry, Multidisciplinary
Barbara Steffen, Andrea Braun von Reinersdorff, Christoph Rasche
Summary: The healthcare landscape is undergoing significant changes due to digitalization and the volatile, uncertain, complex, and ambiguous (VUCA) conditions. These changes disrupt the stability of traditional healthcare organizations and highlight the need for accelerated paradigm shifts. However, many healthcare organizations are struggling to bridge the digitalization gap and become dynamic VUCA service organizations. To address this, an IT-based multi-perspective analysis process is proposed to enable holistic understanding and decision-making for customized digitalization strategies. The introduction of the GOLD Framework and its IT-tool support facilitates a standardized approach while allowing customization to suit specific domains and needs.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Victoria Alekseeva, Alina Nechyporenko, Marcus Frohme, Vitaliy Gargin, Ievgen Meniailov, Dmytro Chumachenko
Summary: The prevalence of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis. Using automated information systems for differential diagnosis can improve doctors' decision-making efficiency in diagnosing chronic odontogenic rhinosinusitis. Therefore, this study aimed to develop an intelligent decision support system based on computer vision methods for the differential diagnosis of chronic odontogenic rhinosinusitis.
Article
Computer Science, Information Systems
Huaqiong Wang, Guiping Qian
Summary: This paper proposes a novel approach to assisting family medical decision support using semantic technology and open data analysis. By constructing disease-specific knowledge models and conducting text mining and sentiment analysis on medical texts, detailed treatment instructions are provided to the public to enhance the practicality of medical guidelines in family practice.
Article
Computer Science, Information Systems
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
Summary: This paper presents a new incremental approach to mining data streams and focuses on tracking changes in the data stream. Probabilistic neural networks are used as basic models for this purpose. The paper introduces globally convergent stream data mining algorithms for regression, classification, and density estimation in a drifting environment. The algorithms are derived from Parzen kernel-based probabilistic neural networks and proven to have L-2 convergence. The paper provides illustrative examples for choosing the parameters and demonstrates the performance of the algorithms through simulations.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Jose Maria Conejero, Juan Carlos Preciado, Antonio Jess Fernandez-Garcia, Alvaro E. Prieto, Roberto Rodriguez-Echeverria
Summary: Education and employment are key aspects of a country's well-being, and governments invest valuable resources in designing plans for them. By considering these two aspects together, instead of separately, their efficacy could be improved.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
