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

Year Number of Results
1853 1
1880 1
1886 1
1888 1
1890 1
1893 1
1894 1
1895 1
1898 1
1899 1
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 15
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 580
1951 1387
1952 1959
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 1636
1966 1662
1967 2147
1968 2688
1969 2728
1970 2971
1971 2878
1972 2980
1973 3069
1974 3657
1975 10667
1976 11461
1977 10986
1978 12016
1979 13232
1980 14308
1981 15304
1982 17042
1983 20318
1984 22383
1985 23589
1986 25584
1987 29233
1988 36822
1989 47715
1990 56970
1991 65063
1992 72521
1993 79581
1994 87135
1995 93087
1996 91598
1997 85480
1998 90049
1999 95259
2000 103657
2001 107263
2002 111693
2003 120589
2004 132754
2005 147257
2006 161311
2007 172379
2008 183581
2009 193211
2010 209044
2011 230248
2012 252832
2013 267791
2014 280731
2015 290326
2016 285205
2017 294519
2018 316511
2019 337401
2020 368717
2021 30019
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Search Results

5,273,742 results
Results by year
Filters applied: . Clear all The following terms were ignored: (, [All Fiel
Page 1
Big Data and Analytics in Healthcare.
Tan SS, Gao G, Koch S. Tan SS, et al. Methods Inf Med. 2015;54(6):546-7. doi: 10.3414/ME15-06-1001. Epub 2015 Nov 18. Methods Inf Med. 2015. PMID: 26577624
This has generated immense interest in leveraging the availability of healthcare data (and "big data") to improve health outcomes and reduce costs. ...More specifically, approaches ranging from efficient methods of processing large clinical data to pre …
This has generated immense interest in leveraging the availability of healthcare data (and "big data") to improve healt …
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.
Inferential statistics allow researchers to make a valid estimate of the association between an intervention and the treatment effect in a specific population, based upon their randomly collected, representative sample data. ...Polytomous data have mor …
Inferential statistics allow researchers to make a valid estimate of the association between an intervention and the treatment effect …
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 challen …
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descrip …
The Hazards of Data Mining in Healthcare.
Househ M, Aldosari B. Househ M, et al. Stud Health Technol Inform. 2017;238:80-83. Stud Health Technol Inform. 2017. PMID: 28679892
During the 1990s and early 2000's, data mining was a topic of great interest to healthcare researchers, as data mining showed some promise in the use of its predictive techniques to help model the healthcare system and improve the delivery of healthcar …
During the 1990s and early 2000's, data mining was a topic of great interest to healthcare researchers, as data mining …
Data Governance and Stewardship.
Bergren MD. Bergren MD. NASN Sch Nurse. 2019 May;34(3):149-151. doi: 10.1177/1942602X19838798. NASN Sch Nurse. 2019. PMID: 30935311
Nurses must identify who is accountable for data governance in their school and the process for influencing data governance policies and procedures. ...The data governance in schools is prescribed by the U.S. Department of Education, state educa …
Nurses must identify who is accountable for data governance in their school and the process for influencing data governance po …
Collecting Data to Facilitate Change.
Towbin AJ. Towbin AJ. J Am Coll Radiol. 2019 Sep;16(9 Pt B):1248-1253. doi: 10.1016/j.jacr.2019.05.032. J Am Coll Radiol. 2019. PMID: 31492402 Review.
Data collection and analysis are central to all quality improvement initiatives. However, there is often a lack of understanding about the different ways data can be collected and why one mode of data collection should be selected over another. ...
Data collection and analysis are central to all quality improvement initiatives. However, there is often a lack of understanding abou
Has open data arrived at the British Medical Journal (BMJ)? An observational study.
Rowhani-Farid A, Barnett AG. Rowhani-Farid A, et al. BMJ Open. 2016 Oct 13;6(10):e011784. doi: 10.1136/bmjopen-2016-011784. BMJ Open. 2016. PMID: 27737882 Free PMC article.
MAIN OUTCOME MEASURES: Percentages of research articles that indicated the availability of their raw data sets in their data sharing statements, and those that easily made their data sets available on request. RESULTS: 3 articles contained the …
MAIN OUTCOME MEASURES: Percentages of research articles that indicated the availability of their raw data sets in their dat
Does big data require a methodological change in medical research?
Caliebe A, Leverkus F, Antes G, Krawczak M. Caliebe A, et al. BMC Med Res Methodol. 2019 Jun 17;19(1):125. doi: 10.1186/s12874-019-0774-0. BMC Med Res Methodol. 2019. PMID: 31208367 Free PMC article.
BACKGROUND: Use of big data is becoming increasingly popular in medical research. Since big data-based projects differ notably from classical research studies, both in terms of scope and quality, a debate is apt as to whether big data require new appro …
BACKGROUND: Use of big data is becoming increasingly popular in medical research. Since big data-based projects differ …
Reaping the benefits of Open Data in public health.
Huston P, Edge VL, Bernier E. Huston P, et al. Can Commun Dis Rep. 2019 Oct 3;45(11):252-256. doi: 10.14745/ccdr.v45i10a01. eCollection 2019 Oct 3. Can Commun Dis Rep. 2019. PMID: 31647060 Free PMC article.
Open Data is part of a broad global movement that is not only advancing science and scientific communication but also transforming modern society and how decisions are made. What began with a call for Open Science and the rise of online journals has extended to Open …
Open Data is part of a broad global movement that is not only advancing science and scientific communication but also transfor …
Metadata and Reuse: Antidotes to Information Entropy.
Habermann T. Habermann T. Patterns (N Y). 2020 Apr 10;1(1):100004. doi: 10.1016/j.patter.2020.100004. eCollection 2020 Apr 10. Patterns (N Y). 2020. PMID: 33205081 Free PMC article. Review.
Entropy is the natural tendency for decline toward disorder over time. Information entropy is the decline in data, information, and understanding that occurs after data are used and results are published. As time passes, the information slowly fades into obscurity. …
Entropy is the natural tendency for decline toward disorder over time. Information entropy is the decline in data, information, and u …
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