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

Year Number of Results
1996 1
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2005 2
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2008 4
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2010 5
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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. ...The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application o …
Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical pu …
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 …
Big Data Precision Marketing Approach under IoT Cloud Platform Information Mining.
Li W. Li W. Comput Intell Neurosci. 2022 Jan 12;2022:4828108. doi: 10.1155/2022/4828108. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 35069719 Free PMC article. Review.
A customized data mining service is a kind of data mining service for users' personalized needs. ...In the empirical research part, the big data alliance in Big Data Industry Alliance, which provides data mining …
A customized data mining service is a kind of data mining service for users' personalized needs. ...In the empir …
Big data and machine learning algorithms for health-care delivery.
Ngiam KY, Khor IW. Ngiam KY, et al. Lancet Oncol. 2019 May;20(5):e262-e273. doi: 10.1016/S1470-2045(19)30149-4. Lancet Oncol. 2019. PMID: 31044724 Review.
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex health-care data. ...Also crucial are ethical considerations, which include medico-legal implications, doctors' understanding o …
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of co …
Big (Bio)Chemical Data Mining Using Chemometric Methods: A Need for Chemists.
Parastar H, Tauler R. Parastar H, et al. Angew Chem Int Ed Engl. 2022 Nov 2;61(44):e201801134. doi: 10.1002/anie.201801134. Epub 2022 Sep 29. Angew Chem Int Ed Engl. 2022. PMID: 29569816 Review.
In addition, insights and perspectives on how to address the analysis of BBCD are provided along with a discussion of the procedures necessary to obtain more reliable qualitative and quantitative results. In this Review, the importance of "big data" and of their rel …
In addition, insights and perspectives on how to address the analysis of BBCD are provided along with a discussion of the procedures necessa …
Big Data and Artificial Intelligence Modeling for Drug Discovery.
Zhu H. Zhu H. Annu Rev Pharmacol Toxicol. 2020 Jan 6;60:573-589. doi: 10.1146/annurev-pharmtox-010919-023324. Epub 2019 Sep 13. Annu Rev Pharmacol Toxicol. 2020. PMID: 31518513 Free PMC article. Review.
Due to the massive data sets available for drug candidates, modern drug discovery has advanced to the big data era. ...In summary, the new advancement of artificial intelligence in the big data era has paved the road to future rational drug deve …
Due to the massive data sets available for drug candidates, modern drug discovery has advanced to the big data era. ... …
Artificial Intelligence and Big Data in Public Health.
Benke K, Benke G. Benke K, et al. Int J Environ Res Public Health. 2018 Dec 10;15(12):2796. doi: 10.3390/ijerph15122796. Int J Environ Res Public Health. 2018. PMID: 30544648 Free PMC article.
In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of a …
In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlig …
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 ubiquity and cheapness of miniature low-power sensors, digital processing, and large amounts of storage contained in small packages has heralded the ability to acquire large amounts of data about systems during their course of operation. The size and complexity of the …
The ubiquity and cheapness of miniature low-power sensors, digital processing, and large amounts of storage contained in small packages has …
The confluence of big data and evolutionary genome mining for the discovery of natural products.
Chevrette MG, Gavrilidou A, Mantri S, Selem-Mojica N, Ziemert N, Barona-Gómez F. Chevrette MG, et al. Nat Prod Rep. 2021 Nov 17;38(11):2024-2040. doi: 10.1039/d1np00013f. Nat Prod Rep. 2021. PMID: 34787598 Review.
This review covers literature between 2003-2021The development and application of genome mining tools has given rise to ever-growing genetic and chemical databases and propelled natural products research into the modern age of Big Data. ...Rather than an exha …
This review covers literature between 2003-2021The development and application of genome mining tools has given rise to ever-growing …
TBtools-II: A "one for all, all for one" bioinformatics platform for biological big-data mining.
Chen C, Wu Y, Li J, Wang X, Zeng Z, Xu J, Liu Y, Feng J, Chen H, He Y, Xia R. Chen C, et al. Mol Plant. 2023 Nov 6;16(11):1733-1742. doi: 10.1016/j.molp.2023.09.010. Epub 2023 Sep 22. Mol Plant. 2023. PMID: 37740491
To date, the plugin store has amassed over 50 plugins, with more than half of them being independently developed and contributed by TBtools users. These plugins offer a range of data analysis options including co-expression network analysis, single-cell data analysi …
To date, the plugin store has amassed over 50 plugins, with more than half of them being independently developed and contributed by TBtools …
2,422 results