An improvement on the prediction power of the 3D-QSAR CoMFA models using a hybrid of statistical and machine learning methods: a case study on γ‑secretase modulators of Alzheimer’s disease

2017 ◽  
Vol 26 (6) ◽  
pp. 1184-1200 ◽  
Author(s):  
Hadi Khani ◽  
Mohammad B. Sepehrifar ◽  
Shantia Yarahmadian
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
3D Qsar ◽  
Learning Methods ◽  
Machine Learning Methods

scholarly journals Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases

NeuroImage ◽  
2018 ◽  
Vol 183 ◽  
pp. 401-411 ◽  
Author(s):  
Ramon Casanova ◽  
Ryan T. Barnard ◽  
Sarah A. Gaussoin ◽  
Santiago Saldana ◽  
Kathleen M. Hayden ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Factor ◽  
High Dimensional ◽  
Learning Methods ◽  
Machine Learning Methods

scholarly journals Alzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e77949 ◽  
Author(s):  
Ramon Casanova ◽  
Fang-Chi Hsu ◽  
Kaycee M. Sink ◽  
Stephen R. Rapp ◽  
Jeff D. Williamson ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Risk Assessment ◽  
Alzheimer's Disease ◽  
Large Scale ◽  
Disease Risk ◽  
Learning Methods ◽  
Machine Learning Methods

[P1-439]: ESTIMATING ALZHEIMER's DISEASE ANATOMICAL RISK ACROSS IMAGING DATABASES USING HIGH-DIMENSIONAL MACHINE LEARNING METHODS

2017 ◽  
Vol 13 (7S_Part_9) ◽  
pp. P450-P451
Author(s):  
Ramon Casanova ◽  
Ryan Barnard ◽  
Santiago Saldana ◽  
Sarah A. Gaussoin ◽  
Kathleen M. Hayden ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
High Dimensional ◽  
Learning Methods ◽  
Machine Learning Methods
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