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

Year Number of Results
1848 1
1853 1
1880 1
1886 1
1888 1
1890 1
1893 1
1894 1
1895 1
1898 1
1899 2
1901 3
1902 1
1903 2
1905 1
1906 3
1908 2
1909 4
1910 2
1911 5
1912 4
1913 6
1914 2
1915 2
1916 8
1917 4
1918 2
1919 6
1920 16
1921 7
1922 7
1923 17
1924 18
1925 21
1926 20
1927 16
1928 25
1929 16
1930 21
1931 24
1932 17
1933 17
1934 8
1935 27
1936 26
1937 26
1938 25
1939 18
1940 11
1941 21
1942 35
1943 21
1944 33
1945 428
1946 1034
1947 702
1948 655
1949 573
1950 579
1951 1387
1952 1958
1953 1532
1954 1263
1955 1452
1956 1739
1957 1935
1958 1995
1959 2166
1960 2318
1961 2843
1962 2634
1963 1561
1964 1769
1965 1638
1966 1665
1967 2156
1968 2689
1969 2728
1970 2974
1971 2894
1972 2997
1973 3070
1974 3659
1975 10671
1976 11467
1977 10994
1978 12033
1979 13243
1980 14315
1981 15315
1982 17058
1983 20331
1984 22396
1985 23620
1986 25605
1987 29249
1988 36830
1989 47752
1990 56986
1991 65072
1992 72546
1993 79619
1994 87185
1995 93114
1996 91621
1997 85508
1998 90076
1999 95294
2000 103695
2001 107311
2002 111735
2003 120626
2004 132788
2005 147290
2006 161427
2007 172423
2008 183611
2009 193304
2010 209206
2011 230382
2012 253044
2013 267973
2014 281257
2015 291110
2016 286264
2017 296171
2018 319164
2019 343981
2020 393598
2021 431871
2022 425618
2023 400284
2024 154307
2025 2

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6,500,387 results

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Page 1
Big Data Analytics in Medicine and Healthcare.
Ristevski B, Chen M. Ristevski B, et al. J Integr Bioinform. 2018 May 10;15(3):20170030. doi: 10.1515/jib-2017-0030. J Integr Bioinform. 2018. PMID: 29746254 Free PMC article.
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. ...Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics d
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. ...Big data analytics …
Fundamentals of Research Data and Variables: The Devil Is in the Details.
Vetter TR. Vetter TR. Anesth Analg. 2017 Oct;125(4):1375-1380. doi: 10.1213/ANE.0000000000002370. Anesth Analg. 2017. PMID: 28787341 Review.
Interval data are a form of continuous data in which equal intervals represent equal differences in the property being measured. Ratio data are another form of continuous data, which have the same properties as interval data, plus a true definit …
Interval data are a form of continuous data in which equal intervals represent equal differences in the property being measure …
Missing data analysis: making it work in the real world.
Graham JW. Graham JW. Annu Rev Psychol. 2009;60:549-76. doi: 10.1146/annurev.psych.58.110405.085530. Annu Rev Psychol. 2009. PMID: 18652544 Review.
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. ...Solutions are given for missing data challenges suc …
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descrip …
Big data analytics in medical engineering and healthcare: methods, advances and challenges.
Wang L, Alexander CA. Wang L, et al. J Med Eng Technol. 2020 Aug;44(6):267-283. doi: 10.1080/03091902.2020.1769758. Epub 2020 Jun 5. J Med Eng Technol. 2020. PMID: 32498594 Review.
The introduction of the types, sources, and features of big data in healthcare as well as the applications and benefits of big data and big data analytics in healthcare is key to understanding healthcare big data and will be discussed in this article. …
The introduction of the types, sources, and features of big data in healthcare as well as the applications and benefits of big dat
Qualitative Data Management and Analysis within a Data Repository.
Antonio MG, Schick-Makaroff K, Doiron JM, Sheilds L, White L, Molzahn A. Antonio MG, et al. West J Nurs Res. 2020 Aug;42(8):640-648. doi: 10.1177/0193945919881706. Epub 2019 Oct 30. West J Nurs Res. 2020. PMID: 31665999
Data repositories can support secure data management for multi-institutional and geographically dispersed research teams. ...The data repository supported the secure collection, storage, and management of over 1,800 files with data. ...
Data repositories can support secure data management for multi-institutional and geographically dispersed research teams. ...T
Data Sharing.
Bergren MD, Johnson K. Bergren MD, et al. NASN Sch Nurse. 2019 Jul;34(4):211-213. doi: 10.1177/1942602X19852934. NASN Sch Nurse. 2019. PMID: 31256755
The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, and destroying data. ...This article will discuss data sharing, the ethics, and the steps that must be taken to share data
The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, a …
Identifying and handling data bias within primary healthcare data using synthetic data generators.
Draghi B, Wang Z, Myles P, Tucker A. Draghi B, et al. Heliyon. 2024 Jan 10;10(2):e24164. doi: 10.1016/j.heliyon.2024.e24164. eCollection 2024 Jan 30. Heliyon. 2024. PMID: 38288010 Free PMC article.
Advanced synthetic data generators can simulate data samples that closely resemble sensitive personal datasets while significantly reducing the risk of individual identification. ...Our paper aims to improve synthetic data generators by introducing probabilis …
Advanced synthetic data generators can simulate data samples that closely resemble sensitive personal datasets while significa …
A review of data abstraction.
Cima G, Console M, Lenzerini M, Poggi A. Cima G, et al. Front Artif Intell. 2023 Jun 23;6:1085754. doi: 10.3389/frai.2023.1085754. eCollection 2023. Front Artif Intell. 2023. PMID: 37426303 Free PMC article. Review.
Data preparation is the process of gathering, transforming and cleaning raw data prior to processing and analysis. Since nowadays data often reside in distributed and heterogeneous data sources, the first activity of data preparation requires co
Data preparation is the process of gathering, transforming and cleaning raw data prior to processing and analysis. Since nowad
FAIR Data Infrastructure.
Neumann J. Neumann J. Adv Biochem Eng Biotechnol. 2022;182:195-207. doi: 10.1007/10_2021_193. Adv Biochem Eng Biotechnol. 2022. PMID: 35091812
In this chapter the concept of research data management is highlighted in the context of the data publication and data infrastructures. One focus of this contribution lies on the topics of metadata and the FAIR data principles associated with data
In this chapter the concept of research data management is highlighted in the context of the data publication and data
Open Data: Implications on Privacy in Healthcare Research.
Chen D. Chen D. Blockchain Healthc Today. 2020 Sep 18;3. doi: 10.30953/bhty.v3.144. eCollection 2020. Blockchain Healthc Today. 2020. PMID: 36777059 Free PMC article. Review.
However, there lacks an internationally recognized definition for health data governance at the scope of individual health data and open source big data, which bring about a discussion about the implications of open data on data privacy. First, …
However, there lacks an internationally recognized definition for health data governance at the scope of individual health data
6,500,387 results
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