Open AccessA Discriminative Feature Space for Detecting and Recognizing Pathologies of the Vertebral Column
Author(s) -
Damian Mingle
Publication year - 2015
Publication title -
international journal of biomedical data mining /international journal of biomedical data mining
Language(s) - English
Resource type - Journals
eISSN - 2090-4924
pISSN - 2090-4916
DOI - 10.4172/2090-4924.1000114
Subject(s) - discriminative model , vertebral column , feature (linguistics) , column (typography) , pattern recognition (psychology) , artificial intelligence , space (punctuation) , computer science , medicine , anatomy , linguistics , philosophy , telecommunications , frame (networking) , operating system
Each year it has become more and more difficult for healthcare providers to determine if a patient has a pathology related to the vertebral column. There is great potential to become more efficient and effective in terms of quality of care provided to patients through the use of automated systems. However, in many cases automated systems can allow for misclassification and force providers to have to review more causes than necessary. In this study, we analyzed methods to increase the True Positives and lower the False Positives while comparing them against stateof-the-art techniques in the biomedical community. We found that by applying the studied techniques of a data-driven model, the benefits to healthcare providers are significant and align with the methodologies and techniques utilized in the current research community