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Academic Articles & Research Papers
Showing 20 of 149 academic articles
Christopher R. Bearman, Susannah B. F. Paletz, Judith M. Orasanu, Matthew J. W. Thomas • Human Factors The Journal of the Human Factors and Ergonomics Society
(2010)
OBJECTIVE: This article aims to explore the nature and resolution of breakdowns in coordinated decision making in distributed safety-critical systems. BACKGROUND: In safety-critical domains, people with different roles and responsibilities ...
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Open Access
DOI: https://doi.org/10.1177/0018720810372104
Daniel G. Arce • Defence and Peace Economics
(2022)
Cybersecurity plays a role in national security. This study introduces cybersecurity concepts in ways familiar to defense economists and identifies parallel methods of analysis in the fields. The theoretical tools of both fields include mic...
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DOI: https://doi.org/10.1080/10242694.2022.2138122
Fábio Ramazzini Bechara, Samara Bueno Schuch • Journal of Financial Crime
(2020)
Purpose This study aims to define objectively what are the elements that should be considered in the repositioning of international cooperation, less under its value, which is unquestionable, but more under the optics of the procedure, how ...
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DOI: https://doi.org/10.1108/jfc-07-2020-0149
Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making
(2005)
BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...
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DOI: https://doi.org/10.1186/1472-6947-5-30
PMC: 1208893
W.D. Penny, David Frost • Medical Decision Making
(1996)
Neural networks are parallel, distributed, adaptive information-processing systems that develop their functionality in response to exposure to information. This paper is a tutorial for researchers intending to use neural nets for medical de...
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DOI: https://doi.org/10.1177/0272989x9601600409
Ashagrie Sharew Iyassu, Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen T. Zewotir • BMC Medical Informatics and Decision Making
(2024)
Abstract Background In causal analyses, some third factor may distort the relationship between the exposure and the outcome variables under study, which gives spurious results. In this case, treatment groups and control groups that receive ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-024-02827-2
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting
(2025)
Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/forecast7020031
Димитра Пантели, Keyrellous Adib, Stefan Buttigieg, Francisco Goiana-da-Silva et al. • The Lancet Public Health
(2025)
Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...
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DOI: https://doi.org/10.1016/s2468-2667(25)00036-2
PMC: 12040707
Ross C. Brownson, Jonathan E. Fielding, Christopher Maylahn • Annual Review of Public Health
(2009)
Despite the many accomplishments of public health, a greater attention to evidence-based approaches is warranted. This article reviews the concepts of evidence-based public health (EBPH), on which formal discourse originated about a decade ...
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DOI: https://doi.org/10.1146/annurev.publhealth.031308.100134
Institute of Medicine • National Academies Press eBooks
(2003)
The Future of the Public's Health in the 21st Century By the Committee on Assuring the Health of the Public in the 21st Century, National Academies Press, 2002, 536 pp., $39.00 (doth), $29.95 (paper). Also available at http://books.nap.edu/...
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DOI: https://doi.org/10.17226/10548
Tessa Suzanne van Schooten, Sarah Derks, Elena Jiménez-Martí, Fatima Carneiro et al. • BMC Cancer
(2022)
Abstract Background Gastric Cancer (GC) is the fourth most deadly cancer worldwide. Enhanced understanding of its key epidemiological and molecular drivers is urgently needed to lower the incidence and improve outcomes. Furthermore, tumor b...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12885-022-09689-9
Recep Evrim Ozgen, Ahmet Yazar, Mustafa Serdar Osmanca • IEEE Access
(2026)
Future sixth-generation (6G) wireless networks are expected to evolve beyond traditional communication infrastructures and incorporate native sensing and environmental awareness capabilities. While previous generations primarily focused on ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3679953
Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2019)
Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...
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Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making
(2018)
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...
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DOI: https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
Zhewei Zhang, Huzi Cheng, Tianming Yang • PLoS Computational Biology
(2020)
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. Th...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pcbi.1008342
Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making
(2021)
BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...
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DOI: https://doi.org/10.1186/s12911-021-01533-7
PMC: 8176715
Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė et al. • Mathematics
(2022)
The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time monitoring of economic activity. The economic activity of a country can be defined in different ways. Most often, the country’s economic act...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10193461
Olaronke G. Iroju, Olaleke Janet • International Journal of Information Technology and Computer Science
(2015)
The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...
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Open Access
DOI: https://doi.org/10.5815/ijitcs.2015.08.07
Tichakorn NETSUWAN, Kraisak KESORN • Walailak Journal of Science and Technology
(2017)
This research presents online crime news analysis using text mining, Natural Language Processing framework (General Framework for Text Mining: GATE), and data warehouse (DW) technologies. The proposed framework aims at extracting key featur...
DOAJ
Open Access (DOAJ)
Amir A. Kimia, Guergana Savova, Assaf Landschaft, Marvin B. Harper • Pediatric Emergency Care
(2015)
Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facility, but clinicians are familiar with coded data such as International Classification of Dis...
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DOI: https://doi.org/10.1097/pec.0000000000000484