Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Critical factor identification in medical device development through supervised learning
Jankovic, Marija; Medina, Lourdes; Kremer, Gül; Yannou, Bernard
Type:
Year:
2013
Editor:
Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author:
Series:
ICED
Institution:
1: Ecole Centrale Paris, France; 2: Pennsylvania State University; 3: University of Puerto Rico
Page(s):
211-222
ISBN:
978-1-904670-46-9
ISSN:
2220-4334
Abstract:
This paper investigates the impact of different variables in Medical Device Development (MDD), where FDA (Food and Drug Administration) approval time is considered as a performance variable. To analyze the significance of the variables supervised Bayesian learning, the Minimal Description Length (MDL) algorithm, is used. A set of real FDA data, representing 474 different companies in USA medical device markets, from 2400 FDA approved orthopedic devices is used. The aim of the study is to identify which product, company and regulation factors contribute most to the variations in FDA decision time.
Keywords:
