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Academic Articles & Research Papers
Showing 20 of 1,262 academic articles
Rene Y Choi, Aaron S. Coyner, Jayashree Kalpathy–Cramer, Michael F Chiang et al. • PubMed Central
(2020)
Purpose: To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. Methods: A systematic literature search in PubMed was ...
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DOI: https://doi.org/10.1167/tvst.9.2.14
PMC: 7347027
Zella King, Joseph Farrington, Martin Utley, Enoch Kung et al. • npj Digital Medicine
(2022)
Abstract Machine learning for hospital operations is under-studied. We present a prediction pipeline that uses live electronic health-records for patients in a UK teaching hospital’s emergency department (ED) to generate short-term, probabi...
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Open Access (DOAJ)
DOI: 10.1038/s41746-022-00649-y
Qifang Bi, Katherine E Goodman, Joshua Kaminsky, Justin Lessler • American Journal of Epidemiology
(2019)
Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which classical methods are not well...
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DOI: https://doi.org/10.1093/aje/kwz189
Hyuk Lee • Applied Sciences
(2025)
As edge computing environments become increasingly dynamic, the need for efficient job scheduling and proactive fault prevention is becoming paramount. In such environments, minimizing machine downtime and maintaining productivity are criti...
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Open Access (DOAJ)
DOI: 10.3390/app15041771
Frank Hutter, Lars Kotthoff, Joaquin Vanschoren • The Springer series on challenges in machine learning
(2019)
This open access book gives the first comprehensive overview of general methods in Automatic Machine Learning, AutoML, collects descriptions of existing AutoML systems based on these methods, and discusses the first international challenge ...
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DOI: https://doi.org/10.1007/978-3-030-05318-5
Subhabrata Sengupta, Rupayan Das, Satyajit Chakrabarti • Emitter: International Journal of Engineering Technology
(2024)
Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, iden...
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Open Access (DOAJ)
DOI: 10.24003/emitter.v12i2.855
Qiying Yu, Wenzhong Li, Yungang Bai, Zhenlin Lu et al. • Journal of Hydrology: Regional Studies
(2025)
Study Area: The Tailan River Basin in the Aksu region and the Yulong Kashi River in the Hotan River Basin of Xinjiang are located at respective geographical coordinates of 80°21'44'' to 81°10'14'' E, 40°41'41'' to 42°15'13'' N, and 77.25° t...
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Open Access (DOAJ)
DOI: 10.1016/j.ejrh.2025.102311
Bardia Abbasi, Daniel M. Goldenholz • Epilepsia
(2019)
Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recogn...
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Open Access
DOI: https://doi.org/10.1111/epi.16333
PMC: 9897263
Qingfeng Sun, Kai Zhang, Yuanlong Xu, Mengmei Luo et al. • BMC Infectious Diseases
(2025)
Abstract Background HIV/TB co-infection presents substantial public-health challenges, showing greater treatment-failure and mortality rates than tuberculosis alone. Recent advances in machine learning (ML) provide a robust means of identif...
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Open Access (DOAJ)
DOI: 10.1186/s12879-025-11998-w
Marc Claesen, Bart De Moor • arXiv (Cornell University)
(2015)
We introduce the hyperparameter search problem in the field of machine learning and discuss its main challenges from an optimization perspective. Machine learning methods attempt to build models that capture some element of interest based o...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1502.02127
Ethem Alpaydın • The MIT Press eBooks
(2021)
A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...
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Open Access
DOI: https://doi.org/10.7551/mitpress/13811.001.0001
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
Luciellen da Costa Ferreira, Ian Carlos Bispo Carvalho, Lúcio André de Castro Jorge, Alice Maria Quezado-Duval et al. • Frontiers in Plant Science
(2024)
Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. ...
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Open Access (DOAJ)
DOI: 10.3389/fpls.2024.1387925
Matjaž Perc, Mahmut Özer, Janja Hojnik • Humanities and Social Sciences Communications
(2019)
Abstract Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the perfect movie, and even cooking a healthier me...
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DOI: https://doi.org/10.1057/s41599-019-0278-x
Kurt K. Benke, Geza Benke • International Journal of Environmental Research and Public Health
(2018)
Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data ...
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DOI: https://doi.org/10.3390/ijerph15122796
PMC: 6313588
Madalina Busuioc • Public Administration Review
(2020)
Artificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low-cost, or "neutral" solutions harnessing the potential of big data has led public...
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DOI: https://doi.org/10.1111/puar.13293
PMC: 8518786
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee • Cancers
(2022)
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stra...
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DOI: https://doi.org/10.3390/cancers14061524
PMC: 8946688
John Howard • American Journal of Industrial Medicine
(2019)
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer engineering. The modern field of AI began at a smal...
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DOI: https://doi.org/10.1002/ajim.23037
Fang Lin, Yuxing Su, Chenxi Zhao, Farhana Akter et al. • Frontiers in Medicine
(2025)
Visual impairment, stemming from genetic, degenerative, and traumatic causes, affects millions globally. Recent advancements in ophthalmology present novel strategies for managing and potentially reversing these conditions. Here, we explore...
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Open Access (DOAJ)
DOI: 10.3389/fmed.2025.1567159
Ashish Srivastava • Krytyka Prawa
(2024)
Francis Bacon says knowledge is power. The creation of knowledge and its dissemina-tion largely depends on the creation of literary works. The great works of Shakespeare, da Vinci, Homer, Picasso, Milton, Tagore etc. have been a treasure tr...
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Open Access (DOAJ)
DOI: 10.7206/kp.2080-1084.617