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

Year Number of Results
1952 1
1959 1
1960 1
1961 1
1962 1
1964 1
1965 1
1967 1
1970 1
1972 1
1974 1
1976 1
1977 5
1978 2
1979 2
1980 3
1981 2
1982 2
1983 8
1984 5
1985 14
1986 9
1987 8
1988 8
1989 9
1990 12
1991 11
1992 11
1993 17
1994 12
1995 25
1996 12
1997 14
1998 14
1999 15
2000 22
2001 29
2002 41
2003 44
2004 60
2005 52
2006 87
2007 88
2008 107
2009 113
2010 155
2011 200
2012 243
2013 256
2014 303
2015 361
2016 408
2017 399
2018 488
2019 535
2020 627
2021 725
2022 610
2023 514
2024 227

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6,233 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 …
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 …
A Review on Lung Cancer Diagnosis Using Data Mining Algorithms.
Heydari F, Rafsanjani MK. Heydari F, et al. Curr Med Imaging. 2021;17(1):16-26. doi: 10.2174/1573405616666200625153017. Curr Med Imaging. 2021. PMID: 32586255 Review.
Data mining techniques are practical in diagnosing lung cancer in its first stages. This paper surveys a number of leading data mining-based cancer diagnosis approaches. Moreover, this review draws a comparison between data mini …
Data mining techniques are practical in diagnosing lung cancer in its first stages. This paper surveys a number of lead …
Analysis of Skin Cancer and Patient Healthcare Using Data Mining Techniques.
Arivazhagan N, Mukunthan MA, Sundaranarayana D, Shankar A, Vinoth Kumar S, Kesavan R, Chandrasekaran S, Shyamala Devi M, Maithili K, Barakkath Nisha U, Abebe TG. Arivazhagan N, et al. Comput Intell Neurosci. 2022 Sep 26;2022:2250275. doi: 10.1155/2022/2250275. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 36199959 Free PMC article. Review.
Skin cancer is the uncontrolled growth of irregular cancer cells in the human-skin's outer layer. ...Due to the blessing of diagnostic technology and recent advancements in cancer treatment, the survival rate of patients with skin cancer has grown. ...
Skin cancer is the uncontrolled growth of irregular cancer cells in the human-skin's outer layer. ...Due to the blessing of di …
A novel five-gene metabolism-related risk signature for predicting prognosis and immune infiltration in endometrial cancer: A TCGA data mining.
Huang H, Cai X, Lin J, Wu Q, Zhang K, Lin Y, Liu B, Lin J. Huang H, et al. Comput Biol Med. 2023 Mar;155:106632. doi: 10.1016/j.compbiomed.2023.106632. Epub 2023 Feb 14. Comput Biol Med. 2023. PMID: 36805217 Free article.
BACKGROUND: Metabolism dysfunction can affect the biological behavior of tumor cells and result in carcinogenesis and the development of various cancers. However, few thoughtful studies focus on the predictive value and efficacy of immunotherapy of metabolism-related gene …
BACKGROUND: Metabolism dysfunction can affect the biological behavior of tumor cells and result in carcinogenesis and the development of var …
A survey on single and multi omics data mining methods in cancer data classification.
Momeni Z, Hassanzadeh E, Saniee Abadeh M, Bellazzi R. Momeni Z, et al. J Biomed Inform. 2020 Jul;107:103466. doi: 10.1016/j.jbi.2020.103466. Epub 2020 Jun 7. J Biomed Inform. 2020. PMID: 32525020 Free article. Review.
This problem has been addressed in gene selection as one of the pre-processing steps in data mining. An analysis that use only one type of data (single-omics) often miss the complexity of the landscape of molecular phenomena underlying the disease. ...In this …
This problem has been addressed in gene selection as one of the pre-processing steps in data mining. An analysis that use only …
Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining.
Li QY, Yang WX, Liu H, Jiao LJ, Gong YB, Shi J. Li QY, et al. Integr Cancer Ther. 2023 Jan-Dec;22:15347354231192017. doi: 10.1177/15347354231192017. Integr Cancer Ther. 2023. PMID: 37551854 Free PMC article. Review.
BACKGROUND: Cancer pain, a common complication of this disease, has been widely treated by electroacupuncture in recent years. ...This study aims to summarize the stimulation parameters commonly used in electroacupuncture treating cancer pain by data minin …
BACKGROUND: Cancer pain, a common complication of this disease, has been widely treated by electroacupuncture in recent years. ...Thi …
Using Data Mining and Association Rules for Early Diagnosis of Esophageal Cancer.
Hadavi SMS, Oliaei S, Saidi S, Nadimi E, Kazemi-Galougahi MH. Hadavi SMS, et al. Gulf J Oncolog. 2022 Sep;1(40):38-46. Gulf J Oncolog. 2022. PMID: 36448069
Today, a data-mining technique can predict the course of the disease with the help of an upto-date technology. With this knowledge, we can reduce esophageal cancer mortality. This study aims to find an association between general characteristics, screening te …
Today, a data-mining technique can predict the course of the disease with the help of an upto-date technology. With this knowl …
Graphical data mining of cancer mechanisms with SEMA.
Solmaz M, Lane A, Gonen B, Akmamedova O, Gunes MH, Komurov K. Solmaz M, et al. Bioinformatics. 2019 Nov 1;35(21):4413-4418. doi: 10.1093/bioinformatics/btz303. Bioinformatics. 2019. PMID: 31070723 Free PMC article.
MOTIVATION: An important goal of cancer genomics initiatives is to provide the research community with the resources for the unbiased query of cancer mechanisms. ...Here, we present a case study of the functional mechanisms of TP53-mediated tumor suppression in vari …
MOTIVATION: An important goal of cancer genomics initiatives is to provide the research community with the resources for the unbiased …
6,233 results