important role for uncovering new trends in healthcare organization which in turn helpful for all the parties associated with this field The main purpose of data mining application in healthcare systems is to develop an automated tool for identifying and disseminating relevant healthcare information. ...
Globally the healthcare sector is abundant with data and hence using data mining techniques in this area seems promising. Healthcare sector collects huge amounts of data on a daily basis. Transferring data into secure electronic system of medical health can save lives and reduce the cost of heal...
International Conference on Web Information Systems EngineeringO. Niaksu, J. Skinulyte, H.G. Duhaze, A systematic literature review of data mining applications in healthcare, in: Web Information Systems Engineering--WISE 2013 Workshops, Springer, 2014, pp. 313-324....
Data Mining in Healthcare: Current Applications and Issues. August 5.Canlas, R. D., "Data Mining in Healthcare: Current Applications and Issues," School of Information Systems & Management, Carnegie Mellon University, Australia 2009.Canlas, R. D. (2009). Data Mining in Healthcare: Current ...
Overall, data mining in healthcare plays a vital role in enhancing clinical decision-making, improving patient care, enabling early disease detection, optimizing resource allocation, and advancing medical research. It has the potential to transform healthcare systems by leveraging the power of ...
Health care Industries are facing lot of challenges in maintaining patient information across various databases due to storage issues. In order to extract patient information, preprocessing techniques can be applied in the
This paper presents a data-mining framework for transnational healthcare system to find alternative practices, including transfusion, pre-admission tests, and evaluation of liver diseases. However, individual countries vary with respect to geographical location, living habits, and culture, so disease ...
Data mining in healthcare—a review. Procedia Comput Sci. 2015;72:306–13. Article Google Scholar Piatetsky-Shapiro G, Tamayo P. Microarray data mining: facing the challenges. SIGKDD. 2003;5(2):1–5. https://doi.org/10.1145/980972.980974. Article Google Scholar Ripley BD. Pattern ...
Digital phenotyping technology involves the passive collection and mining of massive amounts of user data, transforming everyday actions into health information with the use of artificial intelligence, which is often not transparent or easily examined by outsiders. Given the attractiveness of digital ...
In this paper Data Mining is introduced as well as big data in the framework of Healthcare. Furthermore, the Data Mining for accumulated data is investigated. Especially, their complexities of the various areas health and medical research. Finally, machine learning algorithms have been used in or...