Uterine fibroid risk prediction using data analytics and support vector machines in data mining
Keywords:
data mining, healthcare, precision, techniques, uterine fibroidAbstract
In healthcare, the amount and sensitivity of data is huge. The information must be handled with considerable caution, and no shortcuts should be made. A variety of data mining categorization approaches have been used to estimate the quality of healthcare services. On the basis of 150 patient records, this study describes and evaluates the experience of applying a data mining approach and methods. Using data mining techniques, this unique approach to determining the correctness of a product was devised. Data mining employs a number of techniques, including Decision Tree, Naive Bayes, KNN, Radom Tree Set, Rule Model, ZeroR, and J48 or C 4.5. Using the fibroid data set, I applied the Support Vector Machine data mining classification to estimate the Precision. Our goal is to make a conclusion by analyzing the Precision and other indicator values such as RMSE, Recall, and so on.
Downloads
References
Theodore Dalamagas, PanagiotisBouros, Theodore Galanis, MagdaliniEirinaki, and TimosSellis. Mining user navigation patterns for personalizing topic directories. In 9th InternationalWorkshop on Web Information and Data Management, pages 81-88, 2007.
Peter Brusilovsky. “Methods and techniques of adaptive hypermedia". User Modeling and User-Adapted Interaction, 6(2):87-129, 1996. [
BamshadMobasher, Honghua Dai, Tao Luo, and Miki Nakagawa.Improving the effectivenessof collaborative filtering on anonymous web usage data.Technical report, 2001.
Alan R. Hevner, Salvatore T. March, Jinsoo Park, and Sudha Ram. Design science in informationsystems research. MIS Quarterly, 28(1):75-105, 2004.
Yogeesh N. "Study on Clustering Method Based on K-Means Algorithm." Journal of Advances and Scholarly Researches in Allied Education (JASRAE), vol. 17, no. 1, 2020, pp. 485-489(5), www.ignited.in//I/a/305304.
Yogeesh N. "Mathematics Application on Open Source Software." Journal of Advances and Scholarly Researches in Allied Education [JASRAE], vol. 15, no. 9, 2018, pp. 1004-1009(6), www.ignited.in/p/304819.
Alberto Pan, Juan Raposo, Manuel Alvarez, Paula Montoto, VincenteOrjales, Justo Hidalgo,Lucia Ardao, AnastasioMolano, and Angel Vina. The denodo data integration platform. In 28thInternational Conference on Very Large Data Bases, pages 986-989, 2002.
AykutFirat. Information Integration Using Contextual Knowledge and Ontology Merging.PhDthesis, Massachusetts Institute of Technology, 2003.
Yogeesh N. "Mathematical Approach to Representation of Locations Using K-Means Clustering Algorithm." International Journal of Mathematics And its Applications (IJMAA), vol. 9, no. 1, 2021, pp. 127-136.
Ricardo Baeza-Yates and Berthier A. Ribeiro-Neto. Modern Information Retrieval.ACM Press,1999.
Sanjay K. Madria, Sourav S. Bhowmick, Wee Keong Ng, and Ee-Peng Lim. Research issuesin web data mining. In 1st International Conference on Data Warehousing and KnowledgeDiscovery, pages 303-312, 1999.
Jose Borges and Mark Levene.Data mining of user navigation patterns. In Workshop on WebUsage Analysis and User Pro_ling, pages 31-36, 1999.
DominikFlejter, Karol Wieloch, and WitoldAbramowicz.Unsupervised methods of topical textsegmentation for polish. In Workshop on Balto-Slavonic Natural Language Processing, pages51-58, 2007.
Susan Dumais, John Platt, David Heckerman, and MehranSahami.Inductive learning algorithmsand Conference on Informationand Knowledge Management, pages 148-155, 1998.
Michael Steinbach, George Karypis, and Vipin Kumar.A comparison of document
Lawrence Kai Shih and David R. Karger. Using URLs and table layout for web classificationtasks. In Stuart Feldman, Mike Uretsky, Marc Najork, and Craig Wills, editors, 13th InternationalConference on World Wide Web, pages 193-202, 2004.
Girija D.K & M. S. Shashidhara Data mining techniques used for uterus fibroid diagnosis and prognosis In Kottayam, India, 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), INSPEC Accession Number: 13567035.
Girija D.K & M. S. Shashidhara Data mining approach for prediction of fibroid disease using neural networks, Bangalore, India, 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA), INSPEC Accession Number: 14130830.
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.
