Authors:
F. Catherine Tamilarasi,J. Shanmugam,DOI NO:
https://doi.org/10.26782/jmcms.2019.06.00048Keywords:
Artificial Intelligence, Deep Learnin, Neural Network, Machin learning,Working Memory,Abstract
Mental health of human being is more important parameter and any deficit or issue needs faster diagnosis. In this aspect Medical Image Analysis and psychology have become a promising application domain for Machine Learning (ML) which facilitates an intelligent decision support system for diagnosis.Refference:
I. Bhaskar Sen, Neil C. Borle, Russell Greiner, Matthew R. G. Brown,” A general prediction model for the detection of ADHD and Autism using structural and functional MRI “, PLoS ONE 13(4): e0194856.
II.D van der Meer, PJ Hoekstra, M van Donkelaar, J Bralten, J Oosterlaan, D Heslenfeld, SV Faraone, B Franke, JK Buitelaar and CA Hartman, “Predicting attention-deficit/hyperactivity disorder severity from
psychosocial stress and stress-response genes: a random forest regression approach”, Translational Psychiatry (2017) 7, e1145; doi:10.1038/tp.2017.114; published online 6 June 2017
III.Daniel S. Margulies and Simon B. Eickhoff ,” Functional Segregation of the Right Inferior Frontal Gyrus: Evidence From Coactivation-Based Parcellation”, Cerebral Cortex, bhy049, https://doi.org/10.1093/cercor/bhy049
IV. doi: 10.1016/j.ijpsycho.2013.01.008. Epub 2013
V. DP Wall, J Kosmicki, TF DeLuca, E Harstad and VA Fusaro1,” Use of machine learning to shorten observation-based screening and diagnosis of autism”, Translational Psychiatry (2012) 2, e100;
doi:10.1038/tp.2012.10; published online 10 April 2012
VI. Gesa Hartwigsen , Nicole E. Neef, Julia A. Camilleri,
VII. https://doi.org/10.1371/journal.pone.0194856
VIII. https://doi.org/10.1371/journal.pone.0194856 , April 17, 2018
IX. JA Kosmicki , V Sochat , M Duda and DP Wall,” Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning”, Translational Psychiatry (2015) 5, e514;
doi:10.1038/tp.2015.7; published online 24 February 2015
X. JA Kosmicki, V Sochat, M Duda and DP Wall, “Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning”, Transl Psychiatry (2015) 5, e514;
doi:10.1038/tp.2015.7
XI. Jan 27. PMID:23361114
XII. Kartick Subramanian, Sundaram Suresh, “Importance of phenotypic information in ADHD diagnosis”, March 2015
https://www.researchgate.net/publication/276848476 Conference Paper ·
DOI: 10.1109/CCIP.2015.7100722
XIII.
M Duda, R Ma, N Haber and DP Wall, “Use of machine learning for
behavioral distinction of autism and ADHD”, Translational Psychiatry
(2016) 6, e732; doi:10.1038/tp.2015.221; published online 9 February
2016
XIV.
Published: 18 April 2018
XV.
Pulkit Agrawal, Dustin Stansbury, Jitendra Malik, Jack L. Gallant,”
Pixels to Voxels: Modeling Visual Representation in the Human Brain”,