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

Year Number of Results
1966 1
1967 1
1973 1
1978 1
1979 1
1981 1
1982 1
1983 1
1987 1
1989 2
1990 1
1991 1
1994 1
1995 1
1996 4
1997 4
1998 12
1999 5
2000 10
2001 15
2002 7
2003 9
2004 23
2005 20
2006 29
2007 32
2008 32
2009 53
2010 74
2011 87
2012 93
2013 167
2014 178
2015 239
2016 229
2017 268
2018 287
2019 233
2020 263
2021 275
2022 285
2023 262
2024 115

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2,990 results

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Page 1
Artificial intelligence in healthcare: past, present and future.
Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, Wang Y, Dong Q, Shen H, Wang Y. Jiang F, et al. Stroke Vasc Neurol. 2017 Jun 21;2(4):230-243. doi: 10.1136/svn-2017-000101. eCollection 2017 Dec. Stroke Vasc Neurol. 2017. PMID: 29507784 Free PMC article. Review.
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applicati …
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by incre …
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 …
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 variou …
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. ...Big data ana …
Data Mining in Employee Healthcare Detection Using Intelligence Techniques for Industry Development.
Mehbodniya A, Khan IR, Chakraborty S, Karthik M, Mehta K, Ali L, Nuagah SJ. Mehbodniya A, et al. J Healthc Eng. 2022 Jan 10;2022:6462657. doi: 10.1155/2022/6462657. eCollection 2022. J Healthc Eng. 2022. PMID: 35047155 Free PMC article. Retracted.
BACKGROUND: Even in today's environment, when there is a plethora of information accessible, it may be difficult to make appropriate choices for one's well-being. Data mining, machine learning, and computational statistics are among the most popular arenas of traini …
BACKGROUND: Even in today's environment, when there is a plethora of information accessible, it may be difficult to make appropriate choices …
Data mining in healthcare and biomedicine: a survey of the literature.
Yoo I, Alafaireet P, Marinov M, Pena-Hernandez K, Gopidi R, Chang JF, Hua L. Yoo I, et al. J Med Syst. 2012 Aug;36(4):2431-48. doi: 10.1007/s10916-011-9710-5. Epub 2011 May 3. J Med Syst. 2012. PMID: 21537851 Review.
This review first introduces data mining in general (e.g., the background, definition, and process of data mining), discusses the major differences between statistics and data mining and then speaks to the uniqueness of data min …
This review first introduces data mining in general (e.g., the background, definition, and process of data mining …
Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development.
Kolling ML, Furstenau LB, Sott MK, Rabaioli B, Ulmi PH, Bragazzi NL, Tedesco LPC. Kolling ML, et al. Int J Environ Res Public Health. 2021 Mar 17;18(6):3099. doi: 10.3390/ijerph18063099. Int J Environ Res Public Health. 2021. PMID: 33802880 Free PMC article.
In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in this paper, a bibliometric performance and network analysis (BPNA) was conducted. ...The thematic network structure is arranged thusly that …
In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in …
Data Mining for Biomedicine and Healthcare.
Huang Z, Juarez JM, Li X. Huang Z, et al. J Healthc Eng. 2017;2017:7107629. doi: 10.1155/2017/7107629. Epub 2017 Aug 20. J Healthc Eng. 2017. PMID: 29065638 Free PMC article. No abstract available.
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 deli …
During the 1990s and early 2000's, data mining was a topic of great interest to healthcare researchers, as data …
Privacy-Preserving Process Mining in Healthcare.
Pika A, Wynn MT, Budiono S, Ter Hofstede AHM, van der Aalst WMP, Reijers HA. Pika A, et al. Int J Environ Res Public Health. 2020 Mar 2;17(5):1612. doi: 10.3390/ijerph17051612. Int J Environ Res Public Health. 2020. PMID: 32131516 Free PMC article.
The need to comply with strict privacy requirements mayresult in a decreased data utility for analysis. Until recently, data privacy issues did not get muchattention in the process mining community; however, several privacy-preserving data transformati …
The need to comply with strict privacy requirements mayresult in a decreased data utility for analysis. Until recently, data p …
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. However, to effectively use machine learning tools in health care, several limitations m …
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex …
2,990 results