An investigation of critical factors in medical device development through Bayesian networks

作者：

Highlights：

• Potential quantitative and qualitative success factors for new product development are identified.

• Using 2400 specific device data, significance of 20 factors is investigated.

• Investigation uses Smart Greedy+ algorithm for Bayesian network-based learning.

• Results point to the significance of company and FDA related factors.

摘要

•Potential quantitative and qualitative success factors for new product development are identified.•Using 2400 specific device data, significance of 20 factors is investigated.•Investigation uses Smart Greedy+ algorithm for Bayesian network-based learning.•Results point to the significance of company and FDA related factors.

论文关键词：Medical device development,Bayesian networks

论文评审过程：Available online 1 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.014