Showing results (11-20 of 39) with videos related to
Sort By:
Pageof 4
Frontiers in Psychiatry|June 8, 2012
Using multivariate machine learning methods and structural MRI to classify childhood onset schizophrenia and healthy controlsDeanna Greenstein, James D Malley, Brian Weisinger, et al.Academic Radiology|April 16, 2005
Support vector machines committee classification method for computer-aided polyp detection in CT colonographyAnna K Jerebko, James D Malley, Marek Franaszek, et al.Neuropsychology|September 10, 2003
Autobiographical memory in schizophrenia: an examination of the distribution of memoriesBrita Elvevåg, K Megan Kerbs, James D Malley, et al.Human Genetics|December 4, 2021
What makes a good prediction? Feature importance and beginning to open the black box of machine learning in geneticsAnthony M Musolf, Emily R Holzinger, James D Malley, et al.Biodata Mining|April 8, 2016
Detecting gene-gene interactions using a permutation-based random forest methodJing Li, James D Malley, Angeline S Andrew, et al.Biodata Mining|March 4, 2014
Risk estimation using probability machinesAbhijit Dasgupta, Silke Szymczak, Jason H Moore, et al.Medical Physics|February 1, 2003
Computer-assisted detection of colonic polyps with CT colonography using neural networks and binary classification treesAnna K Jerebko, Ronald M Summers, James D Malley, et al.Radiology|November 1, 2002
Colonic polyps: complementary role of computer-aided detection in CT colonographyRonald M Summers, Anna K Jerebko, Marek Franaszek, et al.Genetic Epidemiology|December 1, 2011
Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experienceAbhijit Dasgupta, Yan V Sun, Inke R König, et al.Journal of Child and Adolescent Psychopharmacology|July 15, 2014
Looking for childhood-onset schizophrenia: diagnostic algorithms for classifying children and adolescents with psychosisDeanna Greenstein, Rachna Kataria, Peter Gochman, et al.Pageof 4