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A multi-modal modelling approach to schlzophrenia Supervised and Unsupervised machine learning methods for subtyping and prediction
Axelsen, Martin Christian
(PhD Student)
Hansen, Lars Kai
(Main Supervisor)
Bak, Nikolaj
(Supervisor)
Madsen, Kristoffer Hougaard
(Examiner)
Tan, Zheng-Hua
(Examiner)
Jenssen, Robert
(Examiner)
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
15/12/2014
→
10/04/2019
Funding
Samfinansieret - Andet
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Multimodal Data
Mathematics
100%
Modeling Approach
Mathematics
100%
Machine Learning
Computer Science
100%
Multimodal Modelling
Keyphrases
100%
Schizophrenia Patient
Computer Science
66%
Nave Bayes
Mathematics
25%
Permutation
Mathematics
25%
Statistical Method
Mathematics
25%
Research output
Publications per year
2018
2018
2018
1
Ph.D. thesis
Publications per year
Publications per year
A multimodal modeling approach to schizophrenia
Axelsen, M. C.,
2018
, Kgs. Lyngby:
Technical University of Denmark
.
109 p.
(DTU Compute PHD-2018, Vol. 504).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Modeling Approach
100%
Multimodal Data
100%
Machine Learning
100%
Multimodal Modelling
100%
Dementia Praecox
100%
379
Downloads (Pure)