A Study on C.5 Decision Tree Classification Algorithm for Risk Predictions During Pregnancy-Reference-Cited by-同舟云学术

A Study on C.5 Decision Tree Classification Algorithm for Risk Predictions During Pregnancy

Published:2016 Issue: Volume:24 Page:1542-1549
ISSN:2212-0173
Container-title:Procedia Technology
language:en
Short-container-title:Procedia Technology

Author:

Lakshmi B.N.,Indumathi T.S.,Ravi Nandini

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference10 articles.

1. United Nations Maternal Mortality Estimation Inter-agency Group, consisting of representatives from the World Health Organization (WHO), United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA), United Nations Population Division, the World Bank and Wikipedia.

2. World Health Organization (November 2014). “Preterm birth Fact sheet N̊363”. who.int.Retrieved 6 Mar 2015.

3. Applications of Machine Learning in Cancer Prediction and Prognosis by Joseph A. Cruz, David S. Wishart, Departments of Biological Science and Computing Science, University of Alberta Edmonton, AB, Canada T6G 2E8 in Cancer Informatics 2006: 2 59-78.

4. Decision Trees chapter 9 by Lior Rokach, Department of Industrial Engineerin, Tel-Aviv University and Oded Maimon, Department of Industrial Engineering, Tel-Aviv University.

5. Machine Learning Approach for Preoperative Anaesthetic Risk Prediction by Karpagavalli S1, Jamuna KS2, and Vijaya MS21,2 GR Govindarajulu School of Applied Computer Technology, PSGR Krishnammal College for Women, Coimbatore, India, Email: karpagam@grgsact.com in International Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009.

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