Details
Original language | English |
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Title of host publication | IEEE ISCC 2023 |
Subtitle of host publication | 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9798350300482 |
ISBN (print) | 979-8-3503-0049-9 |
Publication status | Published - 2023 |
Event | 28th IEEE Symposium on Computers and Communications, ISCC 2023 - Hybrid, Gammarth, Tunisia Duration: 9 Jul 2023 → 12 Jul 2023 |
Publication series
Name | Proceedings - IEEE Symposium on Computers and Communications |
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Volume | 2023-July |
ISSN (Print) | 1530-1346 |
Abstract
Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.
Keywords
- Artificial Intelligence, Attention-deficit hyperactivity disorder (ADHD), Diagnostic system, Knowledge Based System, Machine Learning
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Signal Processing
- Mathematics(all)
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Networks and Communications
Sustainable Development Goals
Cite this
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IEEE ISCC 2023 : 28th IEEE Symposium on Computers and Communications - Computers and Communications for the benefits of Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - IEEE Symposium on Computers and Communications; Vol. 2023-July).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Neuro Intel
T2 - 28th IEEE Symposium on Computers and Communications, ISCC 2023
AU - Batsakis, Sotirios
AU - Papadakis, Emmanuel
AU - Tachmazidis, Ilias
AU - Chen, Tianhua
AU - Antoniou, Grigoris
AU - Adamou, Marios
N1 - Funding information: ACKNOWLEDGEMENT This research was partially supported by the Federal Ministry of Education and Research (BMBF), Germany under the project LeibnizKILabor with grant No. 01DD20003
PY - 2023
Y1 - 2023
N2 - Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.
AB - Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.
KW - Artificial Intelligence
KW - Attention-deficit hyperactivity disorder (ADHD)
KW - Diagnostic system
KW - Knowledge Based System
KW - Machine Learning
UR - http://www.scopus.com/inward/record.url?scp=85171978681&partnerID=8YFLogxK
U2 - 10.1109/ISCC58397.2023.10218313
DO - 10.1109/ISCC58397.2023.10218313
M3 - Conference contribution
AN - SCOPUS:85171978681
SN - 979-8-3503-0049-9
T3 - Proceedings - IEEE Symposium on Computers and Communications
BT - IEEE ISCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 July 2023 through 12 July 2023
ER -