James D Malley
Biographic Data
| ID | 7040029 |
|---|---|
| NAME | James D Malley |
| GIVEN NAMES | James D |
| FAMILY NAME | Malley |
| SIGNATURE | MALLEY J D |
| AFFILIATIONS | Center for Information Technology |
| ORCID | 0000-0002-9895-7454 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Using Multivariate Machine Learning Methods and Structural MRI to Classify Childhood Onset Schizophrenia and Healthy Controls
Schizophrenia and control groups can be well classified using RF and anatomic brain measures, and brain-based probability of illness has a positive relationship with illness severity and a negative relationship with developmental delays/problems and CNV-based risk
An introduction to recursive partitioning
Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with large numbers of predictor variables even in the presence of complex interactions, have been applied successfully in genetics, clinical medicine, and bioinformatics within the past few years. High-dimensional problems are common not only in genetics, but …
No prominent works on this page.
An introduction to recursive partitioning
Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with large numbers of predictor variables even in the presence of complex interactions, have been applied successfully in genetics, clinical medicine, and bioinformatics within the past few years. High-dimensional problems are common not only in genetics, but …
Using Multivariate Machine Learning Methods and Structural MRI to Classify Childhood Onset Schizophrenia and Healthy Controls
Schizophrenia and control groups can be well classified using RF and anatomic brain measures, and brain-based probability of illness has a positive relationship with illness severity and a negative relationship with developmental delays/problems and CNV-based risk
Computer Science (2 works) · Machine learning (2 works) · Advanced Neuroimaging Techniques and Applications (1 works) · Artificial Intelligence (1 works) · Audiology (1 works) · Data mining (1 works) · Data Mining Algorithms and Applications (1 works) · Fetal and Pediatric Neurological Disorders (1 works) · Functional Brain Connectivity Studies (1 works) · Gene expression and cancer classification (1 works)