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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1961 1
1977 1
1980 2
1981 1
1985 3
1986 2
1987 2
1990 2
1991 4
1992 5
1993 3
1994 3
1995 4
1996 3
1997 5
1998 10
1999 17
2000 36
2001 33
2002 62
2003 64
2004 99
2005 112
2006 121
2007 141
2008 137
2009 147
2010 237
2011 272
2012 283
2013 344
2014 381
2015 396
2016 448
2017 435
2018 489
2019 540
2020 590
2021 729
2022 849
2023 729
2024 286

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7,249 results

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Page 1
Data mining in clinical big data: the frequently used databases, steps, and methodological models.
Wu WT, Li YJ, Feng AZ, Li L, Huang T, Xu AD, Lyu J. Wu WT, et al. Mil Med Res. 2021 Aug 11;8(1):44. doi: 10.1186/s40779-021-00338-z. Mil Med Res. 2021. PMID: 34380547 Free PMC article. Review.
Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public databases. This article introduced the main medical public database and described the steps, tasks, and models of data mining in …
Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public da …
The role of data science in healthcare advancements: applications, benefits, and future prospects.
Subrahmanya SVG, Shetty DK, Patil V, Hameed BMZ, Paul R, Smriti K, Naik N, Somani BK. Subrahmanya SVG, et al. Ir J Med Sci. 2022 Aug;191(4):1473-1483. doi: 10.1007/s11845-021-02730-z. Epub 2021 Aug 16. Ir J Med Sci. 2022. PMID: 34398394 Free PMC article. Review.
Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. ...The process of data …
Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, us …
Process mining and data mining applications in the domain of chronic diseases: A systematic review.
Chen K, Abtahi F, Carrero JJ, Fernandez-Llatas C, Seoane F. Chen K, et al. Artif Intell Med. 2023 Oct;144:102645. doi: 10.1016/j.artmed.2023.102645. Epub 2023 Aug 29. Artif Intell Med. 2023. PMID: 37783545 Free article. Review.
The review covers articles that pertain to the application of data mining or process mining methods on chronic diseases that were published between 2000 and 2022. ...Based on the literature review results, we detected a growing trend in the applicat …
The review covers articles that pertain to the application of data mining or process mining methods on chronic d …
Brief introduction of medical database and data mining technology in big data era.
Yang J, Li Y, Liu Q, Li L, Feng A, Wang T, Zheng S, Xu A, Lyu J. Yang J, et al. J Evid Based Med. 2020 Feb;13(1):57-69. doi: 10.1111/jebm.12373. Epub 2020 Feb 22. J Evid Based Med. 2020. PMID: 32086994 Free PMC article. Review.
Data mining technology can search for potentially valuable knowledge from a large amount of data, mainly divided into data preparation and data mining, and expression and analysis of results. ...We have introduced several databases and …
Data mining technology can search for potentially valuable knowledge from a large amount of data, mainly divided into …
Clinical data mining: challenges, opportunities, and recommendations for translational applications.
Qiao H, Chen Y, Qian C, Guo Y. Qiao H, et al. J Transl Med. 2024 Feb 20;22(1):185. doi: 10.1186/s12967-024-05005-0. J Transl Med. 2024. PMID: 38378565 Free PMC article. Review.
However, its translational application is still limited. One challenge is that the proposed clinical requirements and data mining are not synchronized. Additionally, the exotic predictions of data mining are difficult to apply directly in local …
However, its translational application is still limited. One challenge is that the proposed clinical requirements and data …
Drug discovery applications for KNIME: an open source data mining platform.
Mazanetz MP, Marmon RJ, Reisser CB, Morao I. Mazanetz MP, et al. Curr Top Med Chem. 2012;12(18):1965-79. doi: 10.2174/156802612804910331. Curr Top Med Chem. 2012. PMID: 23110532 Review.
Commercial data mining software is sometimes prohibitively expensive and the alternate open source data mining software is gaining momentum in both academia and in industrial applications as the costs of research and development continue to rise …
Commercial data mining software is sometimes prohibitively expensive and the alternate open source data mining s …
Applications and Challenges in Healthcare Big Data: A Strategic Review.
Khanna D, Jindal N, Singh H, Rana PS. Khanna D, et al. Curr Med Imaging. 2022;19(1):27-36. doi: 10.2174/1573405618666220308113707. Curr Med Imaging. 2022. PMID: 35260061 Review.
In particular, this article highlights various applications and issues faced by the healthcare industry using big data by evaluating various journal articles between 2016 and 2021. Multiple issues related to data mining, storing, analyzing, and sharing …
In particular, this article highlights various applications and issues faced by the healthcare industry using big data by eval …
Deep learning for mining protein data.
Shi Q, Chen W, Huang S, Wang Y, Xue Z. Shi Q, et al. Brief Bioinform. 2021 Jan 18;22(1):194-218. doi: 10.1093/bib/bbz156. Brief Bioinform. 2021. PMID: 31867611 Review.
The recent emergence of deep learning to characterize complex patterns of protein big data reveals its potential to address the classic challenges in the field of protein data mining. ...In this review, we summarize recent publications on deep learning predic …
The recent emergence of deep learning to characterize complex patterns of protein big data reveals its potential to address the class …
Methods and tools for mining multivariate temporal data in clinical and biomedical applications.
Bellazzi R, Sacchi L, Concaro S. Bellazzi R, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5629-32. doi: 10.1109/IEMBS.2009.5333788. Annu Int Conf IEEE Eng Med Biol Soc. 2009. PMID: 19964402 Review.
Temporal data mining is becoming an important tool for health care providers and decision makers. ...The methods is described and the results obtained on two clinical data sets are shown....
Temporal data mining is becoming an important tool for health care providers and decision makers. ...The methods is described …
Data Processing and Text Mining Technologies on Electronic Medical Records: A Review.
Sun W, Cai Z, Li Y, Liu F, Fang S, Wang G. Sun W, et al. J Healthc Eng. 2018 Apr 8;2018:4302425. doi: 10.1155/2018/4302425. eCollection 2018. J Healthc Eng. 2018. PMID: 29849998 Free PMC article. Review.
However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data mining and analysis directly. Therefore, it is necessary to preprocess the source data in order to improve data qualit …
However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data …
7,249 results

Searches related to "data mining applications"