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Paper Title
Computational Classification of ADHD using the Vanderbilt Rating Scale
Authors
Swapnali A. Chaudhari , Dr. Bharti W. Gawali
Keywords
ADHD, Vanderbilt Rating Scale, Predominantly Inattentive, Predominantly Hyperactive or Impulsive, Combined ADHD, Multivariate Regression
Abstract
Aim / Objective: Assessing whether symptoms of attention-deficit hyperactivity disorder (ADHD) in children are correlated and are appropriate to diagnose a child as ADHD subtypes as Predominantly Inattentive, Predominantly Hyperactive or Impulsive and Combined ADHD. The main aim of this study is to ascertain the association between the various symptoms connected to the ADHD Combined Subtype, Predominantly Inattentive and Predominantly Hyperactive or Impulsive subtype ADHD.
Method: The various rating scales are there to diagnose ADHD and its subtypes. The data from 77 children collected using NICHQ’s Vanderbilt Rating Scale and analyzed as per the rating scale’s Diagnostic criteria diagnosed 6 children with Combined ADHD, 12 were diagnosed as Predominantly Inattentive and 39 were of Predominantly Hyperactive or Impulsive subtype. This data when analyzed using a computational technique called Multivariate Regression concludes that when a child’s inattention rises and hyperactivity or impulsivity lessens he or she is diagnosed as Predominantly Inattentive.
Results: When Inattention declines and Hyperactivity or Impulsivity rises, the likelihood of classifying a child with the Predominantly Hyperactive or Impulsive subtype rises. And when a child has both inattention and hyperactivity or impulsivity, the odds of him or her being diagnosed with ADHD increase.
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IJRTI — journal style
"Computational Classification of ADHD using the Vanderbilt Rating Scale", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 7, page no.1146 - 1151, July-2022, Available :https://ijrti.org/papers/IJRTI2207180.pdf
APA — 7th edition
Chaudhari, S. A., & Gawali, B. W. (2022). Computational Classification of ADHD using the Vanderbilt Rating Scale. International Journal for Research Trends and Innovation, 7(7), 1146 - 1151. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180
MLA — 9th edition
Chaudhari, Swapnali A., and Bharti W. Gawali. "Computational Classification of ADHD using the Vanderbilt Rating Scale." International Journal for Research Trends and Innovation, vol. 7, no. 7, 2022, pp. 1146 - 1151, https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180.
Chicago — 17th, bibliography
Chaudhari, Swapnali A., and Bharti W. Gawali. "Computational Classification of ADHD using the Vanderbilt Rating Scale." International Journal for Research Trends and Innovation 7, no. 7 (2022): 1146 - 1151. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180.
Harvard — author–date
Chaudhari, S.A. and Gawali, B.W. (2022) 'Computational Classification of ADHD using the Vanderbilt Rating Scale', International Journal for Research Trends and Innovation, 7(7), pp. 1146 - 1151. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180
IEEE — numbered reference
S. A. Chaudhari and B. W. Gawali, "Computational Classification of ADHD using the Vanderbilt Rating Scale," IJRTI, vol. 7, no. 7, pp. 1146 - 1151, Jul. 2022.
Vancouver — biomedical
Chaudhari SA, Gawali BW. Computational Classification of ADHD using the Vanderbilt Rating Scale. IJRTI. 2022 Jul;7(7):1146 - 1151.
AMA — 11th edition
Chaudhari SA, Gawali BW. Computational Classification of ADHD using the Vanderbilt Rating Scale. IJRTI. 2022;7(7):1146 - 1151. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2207180,
author = {Swapnali A. Chaudhari and Bharti W. Gawali},
title = {Computational Classification of ADHD using the Vanderbilt Rating Scale},
journal = {International Journal for Research Trends and Innovation},
volume = {7},
number = {7},
pages = {1146 - 1151},
year = {2022},
month = {July},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Chaudhari, Swapnali A.
AU - Gawali, Bharti W.
TI - Computational Classification of ADHD using the Vanderbilt Rating Scale
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 7
IS - 7
PY - 2022
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180
SP - 1146
EP - 1151
ER -
Issue
Volume 7 Issue 7,
July-2022
Pages : 1146 - 1151
Other Publication Details
Paper Reg. ID
IJRTI_183215
Published Paper ID
IJRTI2207180
Downloads
205,626
Research Area
Social Science and HumanitiesÂ
Country
Jalgaon, MAHARASHTRA, India
Published
July 2022
Published Paper PDF
https://ijrti.org/papers/IJRTI2207180.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2207180
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
