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Po Shun Ngan

Researcher at The Chinese University of Hong Kong

Publications -  3
Citations -  113

Po Shun Ngan is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Genetic programming & Knowledge extraction. The author has an hindex of 3, co-authored 3 publications receiving 113 citations.

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Medical data mining using evolutionary computation

TL;DR: A system for discovering medical knowledge by learning Bayesian networks and rules is introduced and is applied to real-life medical databases for limb fracture and scoliosis.
Journal ArticleDOI

Discovering knowledge from medical databases using evolutionory algorithms

TL;DR: The authors present their approach for knowledge discovery from two specific medical databases, where rules are learned to represent the interesting patterns of the data and Bayesian networks are induced to act as causality relationship models among the attributes.

Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge

TL;DR: The techniques and results of data mining from reallife medical databases are presented and Grammar Based Genetic Programming is employed for evolving valid rules.