Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea

• Main Authors: Doreen Ying Ying, Sim, Chee Siong, Teh, Ahmad Izuanuddin, Ismail
• Format: Article
• Language: English
• Published: American Scientific Publishers 2017
• Subjects: QA Mathematics; RA Public aspects of medicine
• Online Access: http://ir.unimas.my/id/eprint/18814/1/Improved%20Boosting%20-%20Copy.pdf; http://ir.unimas.my/id/eprint/18814/; http://www.aspbs.com/science.htm
• Institution: Universiti Malaysia Sarawak

An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). The Pruned-Associative-Rule-Mined Decision Trees (PARM-DT) developed b...