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

Year Number of Results
1947 1
1961 1
1962 1
1966 1
1973 2
1975 1
1977 1
1978 1
1980 1
1981 1
1983 3
1984 5
1986 3
1987 3
1988 4
1989 8
1990 10
1991 7
1992 7
1993 8
1994 3
1995 16
1996 11
1997 16
1998 23
1999 24
2000 31
2001 58
2002 55
2003 51
2004 103
2005 105
2006 124
2007 151
2008 142
2009 182
2010 279
2011 389
2012 396
2013 560
2014 673
2015 848
2016 859
2017 832
2018 996
2019 1067
2020 1218
2021 1309
2022 1281
2023 1134
2024 464

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12,184 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 …
Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical pu …
Data Processing and Text Mining Technologies on Electronic Medical Records: A Review.
Sun W, Cai Z, Li Y, Liu F, Fang S, Wang G. Sun W, et al. J Healthc Eng. 2018 Apr 8;2018:4302425. doi: 10.1155/2018/4302425. eCollection 2018. J Healthc Eng. 2018. PMID: 29849998 Free PMC article. Review.
However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data mining and analysis directly. Therefore, it is necessary to preprocess the source data in order to improve data qualit …
However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data …
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 …
Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review.
Jiashuo WU, Fangqing Z, Zhuangzhuang LI, Weiyi J, Yue S. Jiashuo WU, et al. J Tradit Chin Med. 2022 Jun;42(3):479-486. doi: 10.19852/j.cnki.jtcm.20220408.003. J Tradit Chin Med. 2022. PMID: 35610020 Free PMC article. Review.
Since the interdisciplinary research in TCM has received much attention in the advent of the big data era of which the NP-based integration strategy is broadly used, the strategy is clearly elaborated in the present review. We summarized several NP-based integration strate …
Since the interdisciplinary research in TCM has received much attention in the advent of the big data era of which the NP-based integ …
Clinical data mining.
Zeng QT, Fodeh S. Zeng QT, et al. Comput Biol Med. 2015 Jul;62:293. doi: 10.1016/j.compbiomed.2015.05.014. Comput Biol Med. 2015. PMID: 26067752 No abstract available.
Automated data extraction of electronic medical records: Validity of data mining to construct research databases for eligibility in gastroenterological clinical trials.
Joseph N, Lindblad I, Zaker S, Elfversson S, Albinzon M, Ødegård Ø, Hantler L, Hellström PM. Joseph N, et al. Ups J Med Sci. 2022 Jan 27;127. doi: 10.48101/ujms.v127.8260. eCollection 2022. Ups J Med Sci. 2022. PMID: 35173908 Free PMC article.
Using data mining techniques, it is possible to make use of and derive benefit from this massive amount of data effectively. ...Beyond this, medical procedures and laboratory data can rapidly be retrieved from the EMRs to create tailored databas …
Using data mining techniques, it is possible to make use of and derive benefit from this massive amount of data effecti …
Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning.
Wang P, Li J. Wang P, et al. J Healthc Eng. 2021 Nov 19;2021:7011205. doi: 10.1155/2021/7011205. eCollection 2021. J Healthc Eng. 2021. PMID: 34840702 Free PMC article.
This article analyzes the application process of data mining technology in the medical and health management system and uses machine learning algorithms to design a medical and health data mining system. ...The system uploads the collecte …
This article analyzes the application process of data mining technology in the medical and health management system and …
Detecting medical prescriptions suspected of fraud using an unsupervised data mining algorithm.
Haddad Soleymani M, Yaseri M, Farzadfar F, Mohammadpour A, Sharifi F, Kabir MJ. Haddad Soleymani M, et al. Daru. 2018 Dec;26(2):209-214. doi: 10.1007/s40199-018-0227-z. Epub 2018 Nov 20. Daru. 2018. PMID: 30460618 Free PMC article.
This paper shows that data mining can help detecting potential fraud cases in medical prescriptions more quickly and accurately than by the manual inspection as well as reducing the number of medical prescriptions to be checked which will result in red …
This paper shows that data mining can help detecting potential fraud cases in medical prescriptions more quickly and ac …
Regional medical data mining system.
Robu R, Stoicu-Tivadar V. Robu R, et al. Stud Health Technol Inform. 2011;165:117-22. Stud Health Technol Inform. 2011. PMID: 21685596
This paper suggests a solution to acquire medical data from hospitals located in a region (addressing especially the DKMT Euroregion), and then perform data mining. ...Afterwards, they are automatically centralized on a server in a database using web s …
This paper suggests a solution to acquire medical data from hospitals located in a region (addressing especially the DKMT Euro …
Use of data mining at the Food and Drug Administration.
Duggirala HJ, Tonning JM, Smith E, Bright RA, Baker JD, Ball R, Bell C, Bright-Ponte SJ, Botsis T, Bouri K, Boyer M, Burkhart K, Condrey GS, Chen JJ, Chirtel S, Filice RW, Francis H, Jiang H, Levine J, Martin D, Oladipo T, O'Neill R, Palmer LA, Paredes A, Rochester G, Sholtes D, Szarfman A, Wong HL, Xu Z, Kass-Hout T. Duggirala HJ, et al. J Am Med Inform Assoc. 2016 Mar;23(2):428-34. doi: 10.1093/jamia/ocv063. Epub 2015 Jul 23. J Am Med Inform Assoc. 2016. PMID: 26209436 Review.
OBJECTIVES: This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA). ...SCOPE: Topics include routine and developmental data mining activities, short descriptions of mined FDA data, …
OBJECTIVES: This article summarizes past and current data mining activities at the United States Food and Drug Administration …
12,184 results
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