| Literature DB >> 28985932 |
John M Billings1, Maxwell Eder1, William C Flood1, Devendra Singh Dhami2, Sriraam Natarajan2, Christopher T Whitlow3.
Abstract
Machine learning is one of the most exciting and rapidly expanding fields within computer science. Academic and commercial research entities are investing in machine learning methods, especially in personalized medicine via patient-level classification. There is great promise that machine learning methods combined with resting state functional MR imaging will aid in diagnosis of disease and guide potential treatment for conditions thought to be impossible to identify based on imaging alone, such as psychiatric disorders. We discuss machine learning methods and explore recent advances.Entities:
Keywords: Computer science; Function MR imaging; MR imaging; Machine learning; Resting state function MR imaging
Mesh:
Year: 2017 PMID: 28985932 DOI: 10.1016/j.nic.2017.06.010
Source DB: PubMed Journal: Neuroimaging Clin N Am ISSN: 1052-5149 Impact factor: 2.264