Imbalanced target prediction with pattern discovery on clinical data repositories

Imbalanced target prediction with pattern discovery on clinical data repositories

Abstract Background Clinical data repositories (CDR) have great potential to improve outcome prediction and risk modeling. However, most clinical studies require careful study design, dedicated data collection efforts, and sophisticated modeling techniques before a hypothesis can be tested. We aim t...

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Bibliographic Details
Main Authors: Tak-Ming Chan, Yuxi Li, Choo-Chiap Chiau, Jane Zhu, Jie Jiang, Yong Huo
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Pattern discovery
Data mining
Prediction
Imbalanced data
Clinical data repository
Online Access:http://link.springer.com/article/10.1186/s12911-017-0443-3

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http://link.springer.com/article/10.1186/s12911-017-0443-3

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