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

Year Number of Results
1946 2
1947 1
1952 3
1953 1
1954 3
1955 4
1956 6
1957 4
1958 2
1959 3
1960 3
1961 14
1962 7
1963 3
1964 3
1965 3
1966 4
1967 6
1968 6
1969 4
1970 4
1971 3
1972 4
1973 6
1974 6
1975 7
1976 9
1977 13
1978 10
1979 13
1980 15
1981 9
1982 14
1983 28
1984 28
1985 25
1986 27
1987 20
1988 22
1989 35
1990 39
1991 49
1992 53
1993 43
1994 57
1995 68
1996 56
1997 65
1998 92
1999 104
2000 192
2001 259
2002 290
2003 350
2004 483
2005 578
2006 645
2007 753
2008 789
2009 911
2010 1321
2011 1634
2012 1723
2013 2055
2014 2189
2015 2577
2016 2575
2017 2504
2018 2854
2019 3075
2020 3480
2021 3932
2022 4270
2023 3702
2024 1386

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40,839 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
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. ...The advantages and deficiencies of these architectures are presented in …
The recent emergence of deep learning to characterize complex patterns of protein big data reveals its potential to address the class …
Data mining and machine learning in cancer survival research: An overview and future recommendations.
Kaur I, Doja MN, Ahmad T. Kaur I, et al. J Biomed Inform. 2022 Apr;128:104026. doi: 10.1016/j.jbi.2022.104026. Epub 2022 Feb 12. J Biomed Inform. 2022. PMID: 35167976 Free article. Review.
Data mining and machine learning techniques are transforming the decision-making process in the medical world. ...The change in this aspect is mainly attributed to large amounts of digital data stored in hospitals. This study is focused on the transformation
Data mining and machine learning techniques are transforming the decision-making process in the medical world. ...The change i
Clinical data mining.
Zeng QT, Fodeh S. Zeng QT, et al. Comput Biol Med. 2015 Jul;62:293. doi: 10.1016/j.compbiomed.2015.05.014. Comput Biol Med. 2015. PMID: 26067752 No abstract available.
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
Editorial--Data mining in bioinformatics.
Zhao XM. Zhao XM. J Bioinform Comput Biol. 2015 Dec;13(6):1502004. doi: 10.1142/S0219720015020047. J Bioinform Comput Biol. 2015. PMID: 26781823 No abstract available.
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. ...Frequently, this takes the form of a collaborative integration of process mining, d
The review covers articles that pertain to the application of data mining or process mining methods on chronic diseases …
Application of Data Mining to "Big Data" Acquired in Audiology: Principles and Potential.
Mellor JC, Stone MA, Keane J. Mellor JC, et al. Trends Hear. 2018 Jan-Dec;22:2331216518776817. doi: 10.1177/2331216518776817. Trends Hear. 2018. PMID: 29848183 Free PMC article. Review.
The computer science field of "data mining" has arisen with the purpose of extracting meaning from such data, expressly looking for patterns that not only link historic observations but also predict future behavior. This overview article considers the process …
The computer science field of "data mining" has arisen with the purpose of extracting meaning from such data, expressly …
Use of data mining at the Food and Drug Administration.
Duggirala HJ, Tonning JM, Smith E, Bright RA, Baker JD, Ball R, Bell C, Bright-Ponte SJ, Botsis T, Bouri K, Boyer M, Burkhart K, Condrey GS, Chen JJ, Chirtel S, Filice RW, Francis H, Jiang H, Levine J, Martin D, Oladipo T, O'Neill R, Palmer LA, Paredes A, Rochester G, Sholtes D, Szarfman A, Wong HL, Xu Z, Kass-Hout T. Duggirala HJ, et al. J Am Med Inform Assoc. 2016 Mar;23(2):428-34. doi: 10.1093/jamia/ocv063. Epub 2015 Jul 23. J Am Med Inform Assoc. 2016. PMID: 26209436 Review.
OBJECTIVES: This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA). ...SCOPE: Topics include routine and developmental data mining activities, short descriptions of mined FDA data, …
OBJECTIVES: This article summarizes past and current data mining activities at the United States Food and Drug Administration …
40,839 results
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